Additional comments and refinements
This commit is contained in:
Edward Donner
@@ -122,6 +122,18 @@
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" }"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "479ff514-e8bd-4985-a572-2ea28bb4fa40",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Let's just make sure the model is loaded\n",
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"\n",
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"!ollama pull llama3.2"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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@@ -129,6 +141,10 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"# If this doesn't work for any reason, try the 2 versions in the following cells\n",
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"# And double check the instructions in the 'Recap on installation of Ollama' at the top of this lab\n",
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"# And if none of that works - contact me!\n",
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"\n",
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"response = requests.post(OLLAMA_API, json=payload, headers=HEADERS)\n",
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"print(response.json()['message']['content'])"
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]
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@@ -34,7 +34,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"execution_count": null,
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"id": "4e2a9393-7767-488e-a8bf-27c12dca35bd",
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"metadata": {},
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"outputs": [],
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@@ -49,7 +49,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"execution_count": null,
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"id": "29ddd15d-a3c5-4f4e-a678-873f56162724",
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"metadata": {},
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"outputs": [],
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@@ -61,7 +61,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"execution_count": null,
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"id": "c5e793b2-6775-426a-a139-4848291d0463",
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"metadata": {},
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"outputs": [],
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@@ -91,63 +91,10 @@
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"execution_count": null,
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"id": "2ef960cf-6dc2-4cda-afb3-b38be12f4c97",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Home - Edward Donner\n",
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"Home\n",
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"Outsmart\n",
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"An arena that pits LLMs against each other in a battle of diplomacy and deviousness\n",
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"About\n",
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"Posts\n",
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"Well, hi there.\n",
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"I’m Ed. I like writing code and experimenting with LLMs, and hopefully you’re here because you do too. I also enjoy DJing (but I’m badly out of practice), amateur electronic music production (\n",
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"very\n",
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"amateur) and losing myself in\n",
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"Hacker News\n",
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", nodding my head sagely to things I only half understand.\n",
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"I’m the co-founder and CTO of\n",
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"Nebula.io\n",
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". We’re applying AI to a field where it can make a massive, positive impact: helping people discover their potential and pursue their reason for being. Recruiters use our product today to source, understand, engage and manage talent. I’m previously the founder and CEO of AI startup untapt,\n",
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"acquired in 2021\n",
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".\n",
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"We work with groundbreaking, proprietary LLMs verticalized for talent, we’ve\n",
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"patented\n",
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"our matching model, and our award-winning platform has happy customers and tons of press coverage.\n",
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"Connect\n",
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"with me for more!\n",
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"October 16, 2024\n",
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"From Software Engineer to AI Data Scientist – resources\n",
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"August 6, 2024\n",
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"Outsmart LLM Arena – a battle of diplomacy and deviousness\n",
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"June 26, 2024\n",
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"Choosing the Right LLM: Toolkit and Resources\n",
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"February 7, 2024\n",
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"Fine-tuning an LLM on your texts: a simulation of you\n",
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"Navigation\n",
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"Home\n",
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"Outsmart\n",
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"An arena that pits LLMs against each other in a battle of diplomacy and deviousness\n",
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"About\n",
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"Posts\n",
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"Get in touch\n",
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"ed [at] edwarddonner [dot] com\n",
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"www.edwarddonner.com\n",
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"Follow me\n",
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"LinkedIn\n",
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"Twitter\n",
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"Facebook\n",
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"Subscribe to newsletter\n",
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"Type your email…\n",
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"Subscribe\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"# Let's try one out\n",
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"\n",
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@@ -176,7 +123,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"execution_count": null,
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"id": "abdb8417-c5dc-44bc-9bee-2e059d162699",
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"metadata": {},
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"outputs": [],
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@@ -190,7 +137,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"execution_count": null,
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"id": "f0275b1b-7cfe-4f9d-abfa-7650d378da0c",
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"metadata": {},
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"outputs": [],
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@@ -224,7 +171,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"execution_count": null,
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"id": "0134dfa4-8299-48b5-b444-f2a8c3403c88",
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"metadata": {},
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"outputs": [],
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@@ -248,7 +195,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"execution_count": null,
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"id": "905b9919-aba7-45b5-ae65-81b3d1d78e34",
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"metadata": {},
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"outputs": [],
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@@ -264,28 +211,17 @@
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"execution_count": null,
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"id": "05e38d41-dfa4-4b20-9c96-c46ea75d9fb5",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'**Summary**\\n\\n* Website belongs to Edward Donner, a co-founder and CTO of Nebula.io.\\n* He is the founder and CEO of AI startup untapt, which was acquired in 2021.\\n\\n**News/Announcements**\\n\\n* October 16, 2024: \"From Software Engineer to AI Data Scientist – resources\" (resource list for career advancement)\\n* August 6, 2024: \"Outsmart LLM Arena – a battle of diplomacy and deviousness\" (introducing the Outsmart arena, a competition between LLMs)\\n* June 26, 2024: \"Choosing the Right LLM: Toolkit and Resources\" (resource list for selecting the right LLM)\\n* February 7, 2024: \"Fine-tuning an LLM on your texts: a simulation of you\" (blog post about simulating human-like conversations with LLMs)'"
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]
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},
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"execution_count": 12,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"outputs": [],
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"source": [
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"summarize(\"https://edwarddonner.com\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"execution_count": null,
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"id": "3d926d59-450e-4609-92ba-2d6f244f1342",
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"metadata": {},
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"outputs": [],
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@@ -299,37 +235,10 @@
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"execution_count": null,
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"id": "3018853a-445f-41ff-9560-d925d1774b2f",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/markdown": [
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"# Summary of Edward Donner's Website\n",
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"\n",
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"## About the Creator\n",
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"Edward Donner is a writer, code enthusiast, and co-founder/CTO of Nebula.io, an AI company that applies AI to help people discover their potential.\n",
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"\n",
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"## Recent Announcements and News\n",
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"\n",
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"* October 16, 2024: \"From Software Engineer to AI Data Scientist – resources\" - a resource list for those transitioning into AI data science.\n",
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"* August 6, 2024: \"Outsmart LLM Arena – a battle of diplomacy and deviousness\" - an introduction to the Outsmart arena where LLMs compete against each other in diplomacy and strategy.\n",
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"* June 26, 2024: \"Choosing the Right LLM: Toolkit and Resources\" - a resource list for choosing the right Large Language Model (LLM) for specific use cases.\n",
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"\n",
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"## Miscellaneous\n",
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"\n",
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"* A section about Ed's personal interests, including DJing and amateur electronic music production.\n",
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"* Links to his professional profiles on LinkedIn, Twitter, Facebook, and a contact email."
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"outputs": [],
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"source": [
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"display_summary(\"https://edwarddonner.com\")"
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]
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@@ -352,66 +261,20 @@
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"execution_count": null,
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"id": "45d83403-a24c-44b5-84ac-961449b4008f",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/markdown": [
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"I can't provide information on that topic."
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"outputs": [],
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"source": [
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"display_summary(\"https://cnn.com\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 19,
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"execution_count": null,
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"id": "75e9fd40-b354-4341-991e-863ef2e59db7",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/markdown": [
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"# Website Summary: Anthropic\n",
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"## Overview\n",
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"\n",
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"Anthropic is an AI safety and research company based in San Francisco. Their interdisciplinary team has experience across ML, physics, policy, and product.\n",
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"\n",
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"### News and Announcements\n",
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"\n",
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"* **Claude 3.5 Sonnet** is now available, featuring the most intelligent AI model.\n",
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"* **Announcement**: Introducing computer use, a new Claude 3.5 Sonnet, and Claude 3.5 Haiku (October 22, 2024)\n",
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"* **Research Update**: Constitutional AI: Harmlessness from AI Feedback (December 15, 2022) and Core Views on AI Safety: When, Why, What, and How (March 8, 2023)\n",
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"\n",
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"### Products and Services\n",
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"\n",
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"* Claude for Enterprise\n",
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"* Research and development of AI systems with a focus on safety and reliability.\n",
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"\n",
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"### Company Information\n",
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"\n",
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"* Founded in San Francisco\n",
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"* Interdisciplinary team with experience across ML, physics, policy, and product.\n",
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"* Provides reliable and beneficial AI systems."
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],
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"text/plain": [
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"<IPython.core.display.Markdown object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"outputs": [],
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"source": [
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"display_summary(\"https://anthropic.com\")"
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]
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@@ -455,7 +318,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.10"
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"version": "3.11.11"
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}
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},
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"nbformat": 4,
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@@ -48,21 +48,26 @@
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"# The Environment Name should be: llms\n",
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"\n",
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"import os\n",
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"conda_name, venv_name = \"\", \"\"\n",
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"\n",
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"conda_prefix = os.environ.get('CONDA_PREFIX')\n",
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"if conda_prefix:\n",
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" print(\"Anaconda environment is active:\")\n",
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" print(f\"Environment Path: {conda_prefix}\")\n",
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" print(f\"Environment Name: {os.path.basename(conda_prefix)}\")\n",
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" conda_name = os.path.basename(conda_prefix)\n",
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" print(f\"Environment Name: {conda_name}\")\n",
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"\n",
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"virtual_env = os.environ.get('VIRTUAL_ENV')\n",
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"if virtual_env:\n",
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" print(\"Virtualenv is active:\")\n",
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" print(f\"Environment Path: {virtual_env}\")\n",
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" print(f\"Environment Name: {os.path.basename(virtual_env)}\")\n",
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" venv_name = os.path.basename(virtual_env)\n",
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" print(f\"Environment Name: {venv_name}\")\n",
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"\n",
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"if not conda_prefix and not virtual_env:\n",
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" print(\"Neither Anaconda nor Virtualenv seems to be active. Did you start jupyter lab in an Activated environment? See Setup Part 5.\")"
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"if conda_name != \"llms\" and virtual_env != \"llms\":\n",
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" print(\"Neither Anaconda nor Virtualenv seem to be activated with the expected name 'llms'\")\n",
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" print(\"Did you run 'jupyter lab' from an activated environment with (llms) showing on the command line?\")\n",
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" print(\"If in doubt, close down all jupyter lab, and follow Part 5 in the SETUP-PC or SETUP-mac guide.\")"
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]
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},
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{
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Reference in New Issue
Block a user