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Good explain

In which live stream you have explained this fully ?

Event Slides: www.canva.com/design/DAGOfx2zV48/eUJk97tu-CwHZDtIPtSdbA/view?DAGOfx2zV48&

Insightful video on multi-agent systems. For advanced orchestration, explore SymthOS. #MultiAgentSystems #AI #SymthOS #Innovation

Interesting perspectives on combining several AI agents to solve complicated problems. eager to investigate these frameworks. #Innovation #Technology #MultiAgentSystems #AI

Great video. But one thing I am curious about is why is the input to fine tuning in reverse? I mean the asking the peft_model to generate instruction given response. How does one know a priori that is how the input ought to be preprocessed this way? I am trying to build a peft_model using the same base Mitral-7b, but in my case the data set is "fingpt-sentiment-train". This is a tweet with 5 different classes of sentiments. I am just passing the data set as is (with some pre-processing), i.e., give the tweet and get sentiment. Cheers Ram

Flowise has a langraph no code integration. It’s dope :)

When llm don’t know the answer there is almost zero chance “she” told you about it. just gives you a wrong answer, and this is here interesting things start.

Great working its very important. Congratulations my friends

Thanks again guys!

Is there a student self paced style?

Question - this approach seems different and more advanced than the embedding training session on the llama papers with llama index. Is that one still a valuable approach, or has the world moved on?

Fantastic as usual!

Alex said Langsmith is only for langchain. That's not true. Langsmith has a video building agent monitoring with DSPy and they say it connects with anything. There's also several videos of langsmith and crew AI.

Great explanations + working tutorial codes sharing 👍

Fine-tuning Embedding Models for RAG: colab.research.google.com/drive/1Y_c5lwK9ndImglAJfw5RBqQ9z3dr02q_?usp=sharing Event Slides: www.canva.com/design/DAGN1-w4e0w/oySipozjjqFc5Rk8kJCfVw/view?DAGN1-w4e0w&

This was such a helpful and thorough explainer for how and where to use synthetic data generation. Love that you included dope or nope😂

is this approach really legit? never heard of it till now. and has it been peer reviewed by others?

Dr. Greg is an outstanding teacher and presenter! His pacing makes complex topics easy to understand, and his clear articulation of every point is exceptional. Truly one of the best on RUclips! The material for the presentation was expertly crafted and delivered. Thanks!

First!!

Spectrum - LegalEasy Example - AIM/Arcee AI: colab.research.google.com/drive/1jGt5EO9dcYZaHlGdC5pZg4amK0zM_R5M?usp=sharing Event Slides: www.canva.com/design/DAGNS7ZS5Vk/i1v5UE4Stj08AElFPvwp6A/view?DAGNS7ZS5Vk&

Fascinating deep dive into Mixture of Agents (MoA)! 🧠🚀 This video brilliantly explains how MoA pushes the boundaries of AI by combining multiple LLMs. As someone deeply interested in AI innovation, I was inspired to create my own project based on these concepts. For those curious about a practical implementation of MoA principles, check out MALLO (MultiAgent LLM Orchestrator) that I developed: github.com/bladealex9848/MALLO MALLO integrates local models, OpenAI and Together AI APIs, and specialized assistants, all orchestrated to handle complex queries efficiently. You can try it live here: mallollm.streamlit.app/ This project demonstrates the real-world potential of MoA to enhance performance and accessibility of advanced AI. It's exciting to see how concepts like multi-headed self-attention mechanisms and Mixture of Experts are evolving into more sophisticated architectures like MoA. Dr. Greg's insights are invaluable for anyone looking to understand and implement these cutting-edge techniques. I'm curious to hear others' thoughts on how MoA might reshape AI applications across various industries. Thank you for this comprehensive walkthrough of MoA. It's truly inspiring to see the AI community pushing the boundaries of what's possible! 🌟 #MixtureOfAgents #MALLO #AIInnovation #MultiAgentLLM

Fantastic presentation as usual guys. You remain among the very best on RUclips in terms of pacing and delivery of complex concepts. One small gripe about today's broadcast (this affects neurodivergents like me, not "normal" people): The mic level of The Wiz was considerably lower than Dr. Greg's. This resulted in a "blast/strain to hear" effect in those of us with hearing challenges. Thanks so much for all your great work!!

Synthetic Data Generation - RAGAS & LangSmith: colab.research.google.com/drive/1CyD4nLQ7RDc8iRJ9THXzcLiDhsB5ziDe?usp=sharing Event Slides: www.canva.com/design/DAGNL3ebUvE/esJuItg3T8YmvWDLaivrfg/view?DAGNL3ebUvE&

LFG 🎉🚀

Great video! How can I use RAGAS with Azure OpenAI flavour?

Amazing!

This made my day, thanks for posting

Mixture of Agents: colab.research.google.com/drive/1xvKLeRfXCudIEk7fmmovDB-YKmUiuqk3?usp=sharing Event Slides: www.canva.com/design/DAGMh5frA5Y/2ZYn-bCZCMetv-QMV6Z-eA/view?DAGMh5frA5Y&

I would like to test this out. Could you please put details of the step by step process to setup the project. Can you share the details in your GitHub. Looking forward to it. Thanks

WILL THIS AI HELP ME CLEAN MY BATHROOM?

Ground truth generated by GPT-4? Not even remotely useful for local RAG! In fact, ground truth presupposes you know the question, not really typical of real world user interactions.

Thank you for this Great explanation. So much appreciated

Nice. Can it do soft prompt tuning?

Can we use ragas without openai key

Still 720p. Why tho? That's the monitor standard from the 1990s. RUclips easily handles 8K video these days. 4K is standard on every other AI tech site on RUclips. Please fix guys -- your content is awesome but not every viewer is 25 and can effortlessly read blurry code.

easy peasy lemon squeezy!

great talk:)

Notebook colab.research.google.com/drive/1fXIeC9oQZr3ZNDZTSbyAJIzELRcnGYZg?usp=sharing

Cool webinar, provides a lot of insight, thanks!👌👌

Another great webinar and coverage of DSPy for agentic apps would be dope :)

Improving LangChain RAG with DSPy: colab.research.google.com/drive/1fXIeC9oQZr3ZNDZTSbyAJIzELRcnGYZg?usp=sharing Event Slides: www.canva.com/design/DAGL31M6YKk/y07WGlNs_DrntO1zG8jxNQ/view?DAGL31M6YKk&

the best no code tool is Flowise Basically the only one

Thanks for sharing. I’m looking for a github link to its repo, if possible

Would you share the link to the notebook please??

Amazing content! Thanks for sharing

the content and delivery are outstanding the hat is f*****g stupid we're not 8th graders, my man.

TRIED THIS MIGRATION AND OTHER SOLUTION VIA CHTGPT BUT STILL STRUGGLING

this topic is very hardcore~~😇