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Automata Learning Lab
เข้าร่วมเมื่อ 1 ก.พ. 2021
What up folks! My name is Lucas, I am an AI Engineer and in this channel I want to explore topics like AI, automations and how to build some cool tools!
How to Use Claude 3.5 Sonnet & Artifacts for Studying, Learning & Research
#claude #llm #ai
Some cool use cases for Claude 3.5 Sonnet & Artifacts for studying, learning and doing research.
📚 Chapters:
00:00 - Introduction to the Video and Goals
00:38 - Summarizing a Paper with Claude AI
01:21 - Turning a Paper into an Interactive Dashboard App
03:01 - Verifying the Data in the Interactive Dashboard
04:03 - Iterating on Interactive Dashboard with Feed Forward Network Example
07:08 - Turning a Paper into a Slide Deck
09:12 - Iterating on Navigation and Design for Slide Deck
11:27 - Creating a Quiz App from a Paper
13:00 - Verifying Quiz Questions and Adjusting for Correctness
15:07 - Creating a Diagram from a Text Series
18:17 - Fixing Visual and Readability Issues in Diagram
22:04 - Creating an Interactive Graph Deletion Learning App
28:03 - Creating a Rich Quiz App with References and Anki Card Download
35:03 - Final Iteration and Conclusion
🔗 Links:
- Subscribe!: th-cam.com/channels/u8WF59Scx9f3H1N_FgZUwQ.html
- Tiktok: www.tiktok.com/@enkrateialucca?lang=en
- Twitter: LucasEnkrateia
- LinkedIn: www.linkedin.com/in/lucas-soares-969044167/
- AI project tracker from Ben's Bites: bensbites.beehiiv.com/subscribe?ref=CoXhc4I0c0
Support the Channel!
- Buy me a cup of coffee: tr.ee/7tYsD-tUu2
- Paypal: paypal.me/lucasenkrateia?country.x=PT&locale.x=pt_PT
Some cool use cases for Claude 3.5 Sonnet & Artifacts for studying, learning and doing research.
📚 Chapters:
00:00 - Introduction to the Video and Goals
00:38 - Summarizing a Paper with Claude AI
01:21 - Turning a Paper into an Interactive Dashboard App
03:01 - Verifying the Data in the Interactive Dashboard
04:03 - Iterating on Interactive Dashboard with Feed Forward Network Example
07:08 - Turning a Paper into a Slide Deck
09:12 - Iterating on Navigation and Design for Slide Deck
11:27 - Creating a Quiz App from a Paper
13:00 - Verifying Quiz Questions and Adjusting for Correctness
15:07 - Creating a Diagram from a Text Series
18:17 - Fixing Visual and Readability Issues in Diagram
22:04 - Creating an Interactive Graph Deletion Learning App
28:03 - Creating a Rich Quiz App with References and Anki Card Download
35:03 - Final Iteration and Conclusion
🔗 Links:
- Subscribe!: th-cam.com/channels/u8WF59Scx9f3H1N_FgZUwQ.html
- Tiktok: www.tiktok.com/@enkrateialucca?lang=en
- Twitter: LucasEnkrateia
- LinkedIn: www.linkedin.com/in/lucas-soares-969044167/
- AI project tracker from Ben's Bites: bensbites.beehiiv.com/subscribe?ref=CoXhc4I0c0
Support the Channel!
- Buy me a cup of coffee: tr.ee/7tYsD-tUu2
- Paypal: paypal.me/lucasenkrateia?country.x=PT&locale.x=pt_PT
มุมมอง: 3 148
วีดีโอ
Building Interactive Apps with Claude 3.5 Sonnet & Artifacts
มุมมอง 8K14 วันที่ผ่านมา
#claude #artifacts #llm #ai Let's take a look at awesome use cases for Claude 3.5 Sonnet including: creating interactive interactive quiz apps directly from PDFs, creating interactive mind maps, creating dynamic flowcharts that can dynamically react to selection of parts of the code, and more! 📚 Chapters 00:00 - Exploring Interactivity And Prompting in Claude 3.5 Sonnet 00:35 - Performance of C...
From Text To Visual Diagrams with LangChain, Pydantic & ChatGPT
มุมมอง 418หลายเดือนก่อน
In this we'll learn how to use models like ChatGPT to transform text into clear, visual Knowledge Graphs, leveraging LangChain & Pydantic. We'll walk you through an easy-to-follow Jupyter Notebook, detailing the imports, classes, and functions needed to automate the process using libraries like Pydantic and OpenAI. We even create some cool visualizations, showing step-by-step how to turn a simp...
Automating High Quality Quizzes from Video with Whisper & GPT-4o
มุมมอง 238หลายเดือนก่อน
Learn how to effortlessly create a high-quality quiz from a video in this step-by-step tutorial! We'll walk you through transforming video content into engaging multiple-choice quizzes by converting video to audio, generating transcriptions, and using AI to draft questions. We'll cover essential tools like MoviePy, OpenAI Whisper, and ChatGPT-4, as well as provide tips for crafting well-structu...
Automating The Setup of a Github Repo with ChatGPT, LangChain & Pydantic
มุมมอง 496หลายเดือนก่อน
In this video, we dive into automating the process of setting up a GitHub repository by using Pydantic and LangChain to create an extraction chain. We'll guide you through the step-by-step setup, starting from importing necessary libraries to configuring a Pydantic object, and converting it into a function that integrates with the GPT-4 model. Like & Subscribe! :) Cheers. 📚 Chapters: 00:00 - In...
Understanding Scientific Papers With Prompt Engineering & The ChatGPT API
มุมมอง 448หลายเดือนก่อน
I this video we'll look at a fun and insightful approach using advanced models like ChatGPT to dive deep into understanding scientific papers. Join us as we explore how to implement a prompt engineering pipeline based on Tim Roughgarden's lecture notes from Stanford. We'll dive into the key questions that help evaluate a paper, such as the problem it addresses, its primary contributions, and mo...
Prompt Engineering for Code Generation
มุมมอง 5242 หลายเดือนก่อน
In this video, we delve into a fascinating code generation use case for prompt engineering. We tackle the task of creating a simple Python function that performs operations between two numbers using large language models. By setting up clear test cases, we evaluate the effectiveness of the generated code and ensure its reliability. We also touch on the iterative process of refining and expandin...
Structured Outputs with Pydantic & OpenAI Function Calling
มุมมอง 4942 หลายเดือนก่อน
In this video, we delve into the fascinating realm of open AI function calling and getting structured outputs from Large Language Models! We start by explaining what function calling is and how OpenAI implements this feature. We demonstrate how to use Pydantic to create structured data types combined with OpenAI's function calling, leading to the generation of a fully functional quiz from an ar...
A Simple Prompt Engineering Experiment Template for Text Summarization
มุมมอง 4862 หลายเดือนก่อน
In this second video of our Prompt Engineering series, lets walk you through a systematic framework for building and experimenting with prompts to achieve better results. We'll go through a text summarization example including task definition, setting up an evaluation metric using GPT-4 as a judge to score the quality of the summaries using a 4 point criteria, create a few prompt candidates the...
A Quick & Practical Introduction to Prompt Engineering
มุมมอง 4873 หลายเดือนก่อน
In this video, we'll cover a simple and practical introduction to Prompt Engineering where we cover the basic components of a prompt, how to systematically experiment and improve a prompt to solve a given task. 📚 Chapters: 00:00 - Introduction to Prompt Engineering 00:24 - Understanding the Basics of Prompt Engineering 00:37 - The Importance of Prompt Engineering 01:22 - What is a Prompt? 02:11...
Learning with AI | Building a Quiz App with GPT-4 and LangChain
มุมมอง 7273 หลายเดือนก่อน
In this video we'll build a simple yet fun and useful quiz app based on GPT-4 and LangChain. 📚 Chapters: 00:00 - Introduction to Building a Simple Quiz App with AI 01:04 - Setting Up the Development Environment 03:03 - Writing the Function to Create Quiz Prompt Template 05:16 - Implementing the Quiz Chain with Linkchain and Streamlit 10:50 - Adding Customization Features and Personality to the ...
Getting Started with MultiOn the Best AI-Powered Web Browser Agent
มุมมอง 1.5K4 หลายเดือนก่อน
Getting Started with MultiOn the Best AI-Powered Web Browser Agent
Fast PDF Summarization & Semantic Zoom Using Groq & Mixtral 8x7b
มุมมอง 7674 หลายเดือนก่อน
Fast PDF Summarization & Semantic Zoom Using Groq & Mixtral 8x7b
Automating Creation of Anki Flashcards from ChatGPT Conversations using GPT-4
มุมมอง 6474 หลายเดือนก่อน
Automating Creation of Anki Flashcards from ChatGPT Conversations using GPT-4
My Failed Experiments with GPT-4 Vision Localization Capabilities for Anki Flashcards
มุมมอง 1544 หลายเดือนก่อน
My Failed Experiments with GPT-4 Vision Localization Capabilities for Anki Flashcards
Using GPT4 Vision & LangChain to Query Memories from a Video
มุมมอง 5265 หลายเดือนก่อน
Using GPT4 Vision & LangChain to Query Memories from a Video
Building a Simple Quick Capture Agent with AutoGen
มุมมอง 5845 หลายเดือนก่อน
Building a Simple Quick Capture Agent with AutoGen
An Introduction to LLM Agents | From OpenAI Function Calling to LangChain Agents
มุมมอง 13K5 หลายเดือนก่อน
An Introduction to LLM Agents | From OpenAI Function Calling to LangChain Agents
LLM Agents that Can Learn Facts and Skills | AutoGen
มุมมอง 9655 หลายเดือนก่อน
LLM Agents that Can Learn Facts and Skills | AutoGen
5 rules for Building LLM Agents with AutoGen
มุมมอง 8335 หลายเดือนก่อน
5 rules for Building LLM Agents with AutoGen
Building LLM Agents That Generate Tailored Workout Routines with LangChain
มุมมอง 1.3K6 หลายเดือนก่อน
Building LLM Agents That Generate Tailored Workout Routines with LangChain
Building LLM Agents in 3 Levels of Complexity: From Scratch, OpenAI Functions & LangChain
มุมมอง 8K6 หลายเดือนก่อน
Building LLM Agents in 3 Levels of Complexity: From Scratch, OpenAI Functions & LangChain
Getting Started with OpenAI GPT Builder
มุมมอง 1.4K8 หลายเดือนก่อน
Getting Started with OpenAI GPT Builder
Building a PDF Translation App with ChatGPT
มุมมอง 1.1K8 หลายเดือนก่อน
Building a PDF Translation App with ChatGPT
Quick Automations with Python | Creating PDFs from Your Clipboard
มุมมอง 1898 หลายเดือนก่อน
Quick Automations with Python | Creating PDFs from Your Clipboard
3 Ways To Set Up Llama2 Locally | Llama Cpp, Ollama, Hugging Face
มุมมอง 3.6K8 หลายเดือนก่อน
3 Ways To Set Up Llama2 Locally | Llama Cpp, Ollama, Hugging Face
Building an LLM Agent for Github with LangChain
มุมมอง 1.7K8 หลายเดือนก่อน
Building an LLM Agent for Github with LangChain
Introduction to Fine Tuning with The ChatGPT API
มุมมอง 3999 หลายเดือนก่อน
Introduction to Fine Tuning with The ChatGPT API
Tools to Query Your Docs with LLMs | New Augmented Research Paradigm?
มุมมอง 1.2K9 หลายเดือนก่อน
Tools to Query Your Docs with LLMs | New Augmented Research Paradigm?
Automating Link to Audio with Python, ChatGPT & Hugging Face | Text-to-Speech Tutorial
มุมมอง 52810 หลายเดือนก่อน
Automating Link to Audio with Python, ChatGPT & Hugging Face | Text-to-Speech Tutorial
🎯 Key points for quick navigation: 00:00 *🧩 CLA 3.5 and Artifacts Overview* - CLA 3.5 is a new model by Anthropic with superior performance metrics compared to GP4. - Artifacts enable standalone interactive content alongside CLA conversations, enhancing dynamic coding experiences. - Example: Building interactive quiz apps from PDF content using CLA 3.5 and Artifacts. 01:51 *📝 Interactive Quiz App Development* - Using CLA 3.5 and Artifacts to create quizzes based on PDF content. - Features include generating multi-choice and open-ended questions dynamically. - Example: Iterative improvement of quiz app interface and functionality. 07:47 *🗺️ Interactive Mind Maps* - Generating draggable mind maps to visualize large language model use cases. - Enhancing readability and usability of generated mind maps through iterative adjustments. - Example: Exploring different visualization layouts and customization options. 11:11 *🔄 Flowchart Generation from Code* - Using CLA 3.5 and Artifacts to create flowcharts from Python code snippets. - Iterative development to refine flowchart visualization and interactivity. - Example: Building a dynamic interface linking code segments to flowchart nodes. 19:43 *📊 Interactive Data Visualizations* - Exploring CLA 3.5 capabilities in generating interactive data visualizations. - Utilizing artifacts to create visual representations directly from structured data files. - Example: Demonstrating real-time customization and usability of interactive data displays. 23:34 *📊 Data Simulation and Code Generation* - Demonstrates generating simulated data and code within Cloud Sonnet, - Highlights creating a table with simulated plant growth and soil pH levels, - Initiates data organization into CSV format and visual dashboard creation. 25:07 *📈 Building Interactive Dashboard* - Shows how to build an interactive dashboard to visualize data dynamically, - Integrates simulated data into a dashboard with adjustable parameters, - Illustrates plotting growth rate against soil pH for different vegetables. 26:47 *📊 Uploading and Visualizing CSV Data* - Guides uploading CSV data and creating an interactive dashboard, - Demonstrates visualizing TH-cam statistics from a downloaded CSV, - Discusses issues with visualization layout and potential improvements.
@@v-for-victory nice
which SLM you would recommend for handling summaries in both English and French .thank you
its free?
hey, I'd like to sponsor you for my ai software - let me know how I can contact you to chat further
Love it, try to ask it for suggestions of design and usability. The results are so much beater than what you are geting. Hope it helps
@@carlosperezcpe Nice! Thanks! :)
Amazing
@@marcanttins tx!
Amazing
Amazing
Amazing
Amazing
@@marcanttins tx !
Amazing
@@marcanttins tx! :)
Amazing
@@marcanttins tx!
Some features my not work on the preview section. You have to add the code to the real application and run it
@@khanhnguyenxuan4042 yeah sure. I think here I was just trying to explore possibilities around the topic of learning etc
Thanks for the introduction for the application of ChatGPT with Anki!
Thank youuuu
Great stuff
Definitely hit my niche as a Claude 3.5 + Anki learner who wants to optimize my flashcards. Very informative and gives me a lot of ideas. Even just the idea of Claude's coding errors being more of a speed bump than a dead end. I finally have a reason to try Artifacts, thanks!
@@cameosisj6007 oh I’m glad! Thanks for watching!
Thank you for sharing your knowledge; it was highly informative. 👍
You're welcome!
Nice video!
Thanks! :)
Agreed. It’s a bit better than 4o bc it doesn’t split output code. And it can immediately show the code instead of copy-pasting to something like codepen to get a visual
Yep, the whole experience with artifacts plus great code generation plus this atomic control over the code snippets make this a great tool! I have some other ideas lined up for what to build with it! :) Thanks for watching!
Amazing
@@carlosbaraldi124 thanks!
how do i create virtual environment in linux could you please tell how cause i have to do this project
easy, just download anaconda or miniconda, then run the cmd to create the environment like: conda create -n env-name python=<python version> then activate the env with 'conda activate env-name' and now you can install packages with pip install <package> Hope this helps! :)
at 2:38 how did the window on the right just appear for you? Are you using a specific version of Claude 3.5 Sonnet? I am using the free version of Claude.
THat's the artifacts feature that you have to enable! :)
What is your plan on claude ai ? I see you have unlimited messages to use
I use the pro version!
Can it give summarization for any research documents?
Love how other people use LLM's creatively. The code/flowchart example was amazing! Thanks Lucas!
Thank you @duhai1836!
@automatalearninglab I am facing an error in running this script help me out. I had done exactly what you told to do. File "C:\Users\User\Downloads\voice_analyzer_kyro\voice_analyzer.py", line 27, in <module> model = whisper.load_model("base") ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "c:\Users\User\Downloads\voice_analyzer_kyro\.env\Lib\site-packages\whisper\__init__.py", line 154, in load_model model.set_alignment_heads(alignment_heads) File "c:\Users\User\Downloads\voice_analyzer_kyro\.env\Lib\site-packages\whisper\model.py", line 251, in set_alignment_heads mask = torch.from_numpy(array).reshape( ^^^^^^^^^^^^^^^^^^^^^^^ RuntimeError: Numpy is not available
Thank you,,,
Your welcome :)
AAAAH coisa mais linda que eu já vi na minha vida (o youtuber) 😍😍😍 (mas o modelo é fixe também)
🤣🤣🤣🤣rapariga tu não disfarça 🤣🤣🤣☺️
@@automatalearninglab sua belezura que não disfarça 😘😘😘
@@beatrizbelbut4862 hahaha
I loved the first half of the video talking about agents from scratch , this is very educational and not highly covered . all stuff use llama Index, Langchain and other frameworks which is my opinion is a hateful abstraction . with gpt-4o I think we will not even the cumbersome OpenAI function calling
I think function calling is definitely here to stay but I understand what you're saying about the hateful abstractions, I teach courses on these frameworks for OReilly Media and even for me is a pain to keep up with the complexiity and ever changing nature of these chaining abstractions.
Awesome video,
Thank you! :)
If you could choose an actionable o’reilly course to learn & begin earning money as a freelancer, what would you choose? Any course which teaches real life implementation.
I am inclined to suggest my courses for obvious reasons, but since the goal is to earn money as a freelancer, maybe my content would be a bit too much focused on like implementations rather than deployment. I don't know many courses from OReilly in that sense, however there are many youtubers with great content on stuff like that, like Jason AI and some other guys.
Can i get ur githhub repo link
Is it possible to also do speaker recognition? Do you have a video for it?
is the code available?
Amazing tutorial dude! Thanks 🙏
no worries!
this video is a goldmine of knowledge, thank you
kk thanks!
😍😍😍
hehe
Top !
Thanks!!
Great video
Thanks! :)
Can you link to the "AI Driven Development" paper that you referred to? Simple Google took me to various pages.
This one arxiv.org/pdf/2401.08500
@@automatalearninglab Thank you for the response! But I think that link is for the AlphaCodium paper. Is there a separate paper for "AI Driven Development" that you also mentioned?
@@yoshikimasada7713 no it’s the alpha codium paper. The ai driven dev is just a reference of the topic of the codium paper
git hub link ?
Here! github.com/EnkrateiaLucca/talk_pdf
what i want is a realtime translator. with selected text only
uh nice, tough project though
Just an observation for future videos, perhaps. Coming to this video cold, I got 5 minutes in before you mentioned "Jupitor notebook." I don't know anything about Jupitor notebooks, so I was lost as to what I was looking at until that point.
Ok dully noted! Thanks for the feedback. I think my latest videos are much more to the point now, but will keep this in mind regardless! Thanks a lot! :) Cheers
Thanks for the video. Also, good on you for having the courage to upload an unedited video.
Yeah I mean I did some edits, but overall I found people appreciate if you publish your process, which is what I was trying to do here.
Nice video. I am getting error while p roviding url in terminal. Can't able to provide the url.
Some videos do fail
@@automatalearninglab I am using same url as you used in this video.
@@souravbarua3991 hummm weird. Can you show the error?
@@automatalearninglab After so many correction i resolved the issue. Yes its required LLM for final answer. And also embedding model.
@@souravbarua3991 ok neat!
You should do more of these
Yep they are coming! I have a batch of silly/cool/fun automations to do on the channel! :)
You fumbled sometimes but you kept on going, thanks for that, now i know how to do this from a really cool tutorial. thanks
Thanks! I am learning! B)
Thank you,,,
Here´s how to become a great g Git Prompt Engineer
How?
Aaah I get it now hehe
The audio is almost unbearable. Probably should fix that.
Yep I did! Thanks for the feedback! ( you are so very right)