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Additional comments and refinements

pull/60/head
Edward Donner 5 months ago
parent
commit
26f1135ead
  1. 16
      week1/day2 EXERCISE.ipynb
  2. 175
      week1/solutions/day2 SOLUTION.ipynb
  3. 13
      week1/troubleshooting.ipynb
  4. 49
      week2/day5.ipynb
  5. 6
      week4/day3.ipynb
  6. 26
      week5/day4.ipynb
  7. 4
      week8/day1.ipynb

16
week1/day2 EXERCISE.ipynb

@ -122,6 +122,18 @@
" }" " }"
] ]
}, },
{
"cell_type": "code",
"execution_count": null,
"id": "479ff514-e8bd-4985-a572-2ea28bb4fa40",
"metadata": {},
"outputs": [],
"source": [
"# Let's just make sure the model is loaded\n",
"\n",
"!ollama pull llama3.2"
]
},
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
@ -129,6 +141,10 @@
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"# If this doesn't work for any reason, try the 2 versions in the following cells\n",
"# And double check the instructions in the 'Recap on installation of Ollama' at the top of this lab\n",
"# And if none of that works - contact me!\n",
"\n",
"response = requests.post(OLLAMA_API, json=payload, headers=HEADERS)\n", "response = requests.post(OLLAMA_API, json=payload, headers=HEADERS)\n",
"print(response.json()['message']['content'])" "print(response.json()['message']['content'])"
] ]

175
week1/solutions/day2 SOLUTION.ipynb

@ -34,7 +34,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 4, "execution_count": null,
"id": "4e2a9393-7767-488e-a8bf-27c12dca35bd", "id": "4e2a9393-7767-488e-a8bf-27c12dca35bd",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@ -49,7 +49,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 5, "execution_count": null,
"id": "29ddd15d-a3c5-4f4e-a678-873f56162724", "id": "29ddd15d-a3c5-4f4e-a678-873f56162724",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@ -61,7 +61,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 6, "execution_count": null,
"id": "c5e793b2-6775-426a-a139-4848291d0463", "id": "c5e793b2-6775-426a-a139-4848291d0463",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@ -91,63 +91,10 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 7, "execution_count": null,
"id": "2ef960cf-6dc2-4cda-afb3-b38be12f4c97", "id": "2ef960cf-6dc2-4cda-afb3-b38be12f4c97",
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [],
{
"name": "stdout",
"output_type": "stream",
"text": [
"Home - Edward Donner\n",
"Home\n",
"Outsmart\n",
"An arena that pits LLMs against each other in a battle of diplomacy and deviousness\n",
"About\n",
"Posts\n",
"Well, hi there.\n",
"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",
"very\n",
"amateur) and losing myself in\n",
"Hacker News\n",
", nodding my head sagely to things I only half understand.\n",
"I’m the co-founder and CTO of\n",
"Nebula.io\n",
". 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",
"acquired in 2021\n",
".\n",
"We work with groundbreaking, proprietary LLMs verticalized for talent, we’ve\n",
"patented\n",
"our matching model, and our award-winning platform has happy customers and tons of press coverage.\n",
"Connect\n",
"with me for more!\n",
"October 16, 2024\n",
"From Software Engineer to AI Data Scientist – resources\n",
"August 6, 2024\n",
"Outsmart LLM Arena – a battle of diplomacy and deviousness\n",
"June 26, 2024\n",
"Choosing the Right LLM: Toolkit and Resources\n",
"February 7, 2024\n",
"Fine-tuning an LLM on your texts: a simulation of you\n",
"Navigation\n",
"Home\n",
"Outsmart\n",
"An arena that pits LLMs against each other in a battle of diplomacy and deviousness\n",
"About\n",
"Posts\n",
"Get in touch\n",
"ed [at] edwarddonner [dot] com\n",
"www.edwarddonner.com\n",
"Follow me\n",
"LinkedIn\n",
"Twitter\n",
"Facebook\n",
"Subscribe to newsletter\n",
"Type your email…\n",
"Subscribe\n"
]
}
],
"source": [ "source": [
"# Let's try one out\n", "# Let's try one out\n",
"\n", "\n",
@ -176,7 +123,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 8, "execution_count": null,
"id": "abdb8417-c5dc-44bc-9bee-2e059d162699", "id": "abdb8417-c5dc-44bc-9bee-2e059d162699",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@ -190,7 +137,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 9, "execution_count": null,
"id": "f0275b1b-7cfe-4f9d-abfa-7650d378da0c", "id": "f0275b1b-7cfe-4f9d-abfa-7650d378da0c",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@ -224,7 +171,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 10, "execution_count": null,
"id": "0134dfa4-8299-48b5-b444-f2a8c3403c88", "id": "0134dfa4-8299-48b5-b444-f2a8c3403c88",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@ -248,7 +195,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 11, "execution_count": null,
"id": "905b9919-aba7-45b5-ae65-81b3d1d78e34", "id": "905b9919-aba7-45b5-ae65-81b3d1d78e34",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@ -264,28 +211,17 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 12, "execution_count": null,
"id": "05e38d41-dfa4-4b20-9c96-c46ea75d9fb5", "id": "05e38d41-dfa4-4b20-9c96-c46ea75d9fb5",
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [],
{
"data": {
"text/plain": [
"'**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)'"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [ "source": [
"summarize(\"https://edwarddonner.com\")" "summarize(\"https://edwarddonner.com\")"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 13, "execution_count": null,
"id": "3d926d59-450e-4609-92ba-2d6f244f1342", "id": "3d926d59-450e-4609-92ba-2d6f244f1342",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@ -299,37 +235,10 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 14, "execution_count": null,
"id": "3018853a-445f-41ff-9560-d925d1774b2f", "id": "3018853a-445f-41ff-9560-d925d1774b2f",
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [],
{
"data": {
"text/markdown": [
"# Summary of Edward Donner's Website\n",
"\n",
"## About the Creator\n",
"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",
"\n",
"## Recent Announcements and News\n",
"\n",
"* October 16, 2024: \"From Software Engineer to AI Data Scientist – resources\" - a resource list for those transitioning into AI data science.\n",
"* 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",
"* 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",
"\n",
"## Miscellaneous\n",
"\n",
"* A section about Ed's personal interests, including DJing and amateur electronic music production.\n",
"* Links to his professional profiles on LinkedIn, Twitter, Facebook, and a contact email."
],
"text/plain": [
"<IPython.core.display.Markdown object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [ "source": [
"display_summary(\"https://edwarddonner.com\")" "display_summary(\"https://edwarddonner.com\")"
] ]
@ -352,66 +261,20 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 15, "execution_count": null,
"id": "45d83403-a24c-44b5-84ac-961449b4008f", "id": "45d83403-a24c-44b5-84ac-961449b4008f",
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [],
{
"data": {
"text/markdown": [
"I can't provide information on that topic."
],
"text/plain": [
"<IPython.core.display.Markdown object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [ "source": [
"display_summary(\"https://cnn.com\")" "display_summary(\"https://cnn.com\")"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 19, "execution_count": null,
"id": "75e9fd40-b354-4341-991e-863ef2e59db7", "id": "75e9fd40-b354-4341-991e-863ef2e59db7",
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [],
{
"data": {
"text/markdown": [
"# Website Summary: Anthropic\n",
"## Overview\n",
"\n",
"Anthropic is an AI safety and research company based in San Francisco. Their interdisciplinary team has experience across ML, physics, policy, and product.\n",
"\n",
"### News and Announcements\n",
"\n",
"* **Claude 3.5 Sonnet** is now available, featuring the most intelligent AI model.\n",
"* **Announcement**: Introducing computer use, a new Claude 3.5 Sonnet, and Claude 3.5 Haiku (October 22, 2024)\n",
"* **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",
"\n",
"### Products and Services\n",
"\n",
"* Claude for Enterprise\n",
"* Research and development of AI systems with a focus on safety and reliability.\n",
"\n",
"### Company Information\n",
"\n",
"* Founded in San Francisco\n",
"* Interdisciplinary team with experience across ML, physics, policy, and product.\n",
"* Provides reliable and beneficial AI systems."
],
"text/plain": [
"<IPython.core.display.Markdown object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [ "source": [
"display_summary(\"https://anthropic.com\")" "display_summary(\"https://anthropic.com\")"
] ]
@ -455,7 +318,7 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.11.10" "version": "3.11.11"
} }
}, },
"nbformat": 4, "nbformat": 4,

13
week1/troubleshooting.ipynb

@ -48,21 +48,26 @@
"# The Environment Name should be: llms\n", "# The Environment Name should be: llms\n",
"\n", "\n",
"import os\n", "import os\n",
"conda_name, venv_name = \"\", \"\"\n",
"\n", "\n",
"conda_prefix = os.environ.get('CONDA_PREFIX')\n", "conda_prefix = os.environ.get('CONDA_PREFIX')\n",
"if conda_prefix:\n", "if conda_prefix:\n",
" print(\"Anaconda environment is active:\")\n", " print(\"Anaconda environment is active:\")\n",
" print(f\"Environment Path: {conda_prefix}\")\n", " print(f\"Environment Path: {conda_prefix}\")\n",
" print(f\"Environment Name: {os.path.basename(conda_prefix)}\")\n", " conda_name = os.path.basename(conda_prefix)\n",
" print(f\"Environment Name: {conda_name}\")\n",
"\n", "\n",
"virtual_env = os.environ.get('VIRTUAL_ENV')\n", "virtual_env = os.environ.get('VIRTUAL_ENV')\n",
"if virtual_env:\n", "if virtual_env:\n",
" print(\"Virtualenv is active:\")\n", " print(\"Virtualenv is active:\")\n",
" print(f\"Environment Path: {virtual_env}\")\n", " print(f\"Environment Path: {virtual_env}\")\n",
" print(f\"Environment Name: {os.path.basename(virtual_env)}\")\n", " venv_name = os.path.basename(virtual_env)\n",
" print(f\"Environment Name: {venv_name}\")\n",
"\n", "\n",
"if not conda_prefix and not virtual_env:\n", "if conda_name != \"llms\" and virtual_env != \"llms\":\n",
" print(\"Neither Anaconda nor Virtualenv seems to be active. Did you start jupyter lab in an Activated environment? See Setup Part 5.\")" " print(\"Neither Anaconda nor Virtualenv seem to be activated with the expected name 'llms'\")\n",
" print(\"Did you run 'jupyter lab' from an activated environment with (llms) showing on the command line?\")\n",
" print(\"If in doubt, close down all jupyter lab, and follow Part 5 in the SETUP-PC or SETUP-mac guide.\")"
] ]
}, },
{ {

49
week2/day5.ipynb

@ -366,7 +366,7 @@
"id": "d91d3f8f-e505-4e3c-a87c-9e42ed823db6", "id": "d91d3f8f-e505-4e3c-a87c-9e42ed823db6",
"metadata": {}, "metadata": {},
"source": [ "source": [
"# For Mac users\n", "# For Mac users - and possibly many PC users too\n",
"\n", "\n",
"This version should work fine for you. It might work for Windows users too, but you might get a Permissions error writing to a temp file. If so, see the next section!\n", "This version should work fine for you. It might work for Windows users too, but you might get a Permissions error writing to a temp file. If so, see the next section!\n",
"\n", "\n",
@ -410,19 +410,56 @@
"id": "ad89a9bd-bb1e-4bbb-a49a-83af5f500c24", "id": "ad89a9bd-bb1e-4bbb-a49a-83af5f500c24",
"metadata": {}, "metadata": {},
"source": [ "source": [
"# For Windows users\n", "# For Windows users (or any Mac users with problems above)\n",
"\n", "\n",
"## First try the Mac version above, but if you get a permissions error writing to a temp file, then this code should work instead.\n", "## First try the Mac version above, but if you get a permissions error writing to a temp file, then this code should work instead.\n",
"\n", "\n",
"A collaboration between students Mark M. and Patrick H. and Claude got this resolved!\n", "A collaboration between students Mark M. and Patrick H. and Claude got this resolved!\n",
"\n", "\n",
"Below are 3 variations - hopefully one of them will work on your PC. If not, message me please!\n", "Below are 4 variations - hopefully one of them will work on your PC. If not, message me please!\n",
"\n", "\n",
"And for Mac people - all 3 of the below work on my Mac too - please try these if the Mac version gave you problems.\n", "And for Mac people - all 3 of the below work on my Mac too - please try these if the Mac version gave you problems.\n",
"\n", "\n",
"## PC Variation 1" "## PC Variation 1"
] ]
}, },
{
"cell_type": "code",
"execution_count": null,
"id": "d104b96a-02ca-4159-82fe-88e0452aa479",
"metadata": {},
"outputs": [],
"source": [
"import base64\n",
"from io import BytesIO\n",
"from PIL import Image\n",
"from IPython.display import Audio, display\n",
"\n",
"def talker(message):\n",
" response = openai.audio.speech.create(\n",
" model=\"tts-1\",\n",
" voice=\"onyx\",\n",
" input=message)\n",
"\n",
" audio_stream = BytesIO(response.content)\n",
" output_filename = \"output_audio.mp3\"\n",
" with open(output_filename, \"wb\") as f:\n",
" f.write(audio_stream.read())\n",
"\n",
" # Play the generated audio\n",
" display(Audio(output_filename, autoplay=True))\n",
"\n",
"talker(\"Well, hi there\")"
]
},
{
"cell_type": "markdown",
"id": "3a5d11f4-bbd3-43a1-904d-f684eb5f3e3a",
"metadata": {},
"source": [
"## PC Variation 2"
]
},
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
@ -473,7 +510,7 @@
"id": "96f90e35-f71e-468e-afea-07b98f74dbcf", "id": "96f90e35-f71e-468e-afea-07b98f74dbcf",
"metadata": {}, "metadata": {},
"source": [ "source": [
"## PC Variation 2" "## PC Variation 3"
] ]
}, },
{ {
@ -516,7 +553,7 @@
"id": "e821224c-b069-4f9b-9535-c15fdb0e411c", "id": "e821224c-b069-4f9b-9535-c15fdb0e411c",
"metadata": {}, "metadata": {},
"source": [ "source": [
"## PC Variation 3\n", "## PC Variation 4\n",
"\n", "\n",
"### Let's try a completely different sound library\n", "### Let's try a completely different sound library\n",
"\n", "\n",
@ -577,7 +614,7 @@
"id": "7986176b-cd04-495f-a47f-e057b0e462ed", "id": "7986176b-cd04-495f-a47f-e057b0e462ed",
"metadata": {}, "metadata": {},
"source": [ "source": [
"## PC Users - if none of those 3 variations worked!\n", "## PC Users - if none of those 4 variations worked!\n",
"\n", "\n",
"Please get in touch with me. I'm sorry this is causing problems! We'll figure it out.\n", "Please get in touch with me. I'm sorry this is causing problems! We'll figure it out.\n",
"\n", "\n",

6
week4/day3.ipynb

@ -276,7 +276,11 @@
"Then it runs the program called `optimized`\n", "Then it runs the program called `optimized`\n",
"\n", "\n",
"You can google (or ask ChatGPT!) for how to do this on your platform, then replace the lines below.\n", "You can google (or ask ChatGPT!) for how to do this on your platform, then replace the lines below.\n",
"If you're not comfortable with this step, you can skip it for sure - I'll show you exactly how it performs on my Mac." "If you're not comfortable with this step, you can skip it for sure - I'll show you exactly how it performs on my Mac.\n",
"\n",
"OR alternatively: student Sandeep K.G. points out that you can run Python and C++ code online to test it out that way. Thank you Sandeep! \n",
"> Not an exact comparison but you can still get the idea of performance difference.\n",
"> For example here: https://www.programiz.com/cpp-programming/online-compiler/"
] ]
}, },
{ {

26
week5/day4.ipynb

@ -294,7 +294,31 @@
"id": "9468860b-86a2-41df-af01-b2400cc985be", "id": "9468860b-86a2-41df-af01-b2400cc985be",
"metadata": {}, "metadata": {},
"source": [ "source": [
"## Time to use LangChain to bring it all together" "# Time to use LangChain to bring it all together"
]
},
{
"cell_type": "markdown",
"id": "8ba8a5e7-965d-4770-a12d-532aff50c4b5",
"metadata": {},
"source": [
"<table style=\"margin: 0; text-align: left;\">\n",
" <tr>\n",
" <td style=\"width: 150px; height: 150px; vertical-align: middle;\">\n",
" <img src=\"../important.jpg\" width=\"150\" height=\"150\" style=\"display: block;\" />\n",
" </td>\n",
" <td>\n",
" <h2 style=\"color:#900;\">PLEASE READ ME! Ignoring the Deprecation Warning</h2>\n",
" <span style=\"color:#900;\">When you run the next cell, you will get a LangChainDeprecationWarning \n",
" about the simple way we use LangChain memory. They ask us to migrate to their new approach for memory. \n",
" I feel quite conflicted about this. The new approach involves moving to LangGraph and getting deep into their ecosystem.\n",
" There's a fair amount of learning and coding in LangGraph, frankly without much benefit in our case.<br/><br/>\n",
" I'm going to think about whether/how to incorporate it in the course, but for now please ignore the Depreciation Warning and\n",
" use the code as is; LangChain are not expected to remove ConversationBufferMemory any time soon.\n",
" </span>\n",
" </td>\n",
" </tr>\n",
"</table>"
] ]
}, },
{ {

4
week8/day1.ipynb

@ -95,7 +95,7 @@
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"with app.run(show_progress=False):\n", "with app.run():\n",
" reply=hello.local()\n", " reply=hello.local()\n",
"reply" "reply"
] ]
@ -107,7 +107,7 @@
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"with app.run(show_progress=False):\n", "with app.run():\n",
" reply=hello.remote()\n", " reply=hello.remote()\n",
"reply" "reply"
] ]

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