Define a T-5 small RAG & Finetune it The code below will perform finetuning & provide a checkpoint for the best model weights saved during the process. Check this out
LLMS
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Evaluating RAG System Powered by Mistral-7B LLM
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Evaluate RAG powered by Mistral Let's first evaluate our RAG program that uses Mistral-7B as LLM ** Notice the score, this is what we want to beat! Check this out
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Defining RAG Pipeline with DSPy Program
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Define the RAG program Let's define a basic DSPy program which is a RAG pipeline for answer generation. It's like defining a model that we want to finetune & evaluate. Check this out
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React LLM Agent Uses Memory to Solve Tasks
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How can an agentic workflow use an LLM to solve tasks?
— m_ric (@AymericRoucher) 31 mai 2024
➡️ I made my first ever 𝘮𝘢𝘯𝘪𝘮 video to show that:
Watch below how a React LLM Agent solves a simple task, by leveraging its memory to iterate on previous actions! 📺👇 pic.twitter.com/a3S348qa0gHow can an agentic workflow use an LLM to solve tasks? I made my first ever 𝘮𝘢𝘯𝘪𝘮 video to show that:
Watch below how a React LLM Agent solves a simple task, by leveraging its memory to iterate on previous actions! -
AutoQuant: Automatically Quantize LLMs in Colab
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AutoQuant: automatically quantize your LLMs in Colab Following llama.cpp's updates to fix Llama 3 quants, it's time to communicate again about AutoQuant It's a user-friendly Colab to create your own GGUF, EXL2, AWQ, and HQQ quants Colab: https://
colab.research.google.com/drive/1b6nqC7U
ZVt8bx4MksX7s656GXPM-eWw4?usp=sharing
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AI Breakthroughs Continue: Recent Week Proves Skeptics Wrong
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Lo más interesante es que todos estos ejemplos que te he compartido no son trabajos de los últimos meses, sino de la última semana. E ilustra bien por qué la tesis de tu hilo es incorrecta en gran medida. No es que no hayan avances, pruebas de concepto, etc. Claro que los hay, y
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Lessons Learned Building with Large Language Models
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What we learned from a year of building with LLMs. A great read for anyone interested in building things with large language models. → https://
oreilly.com/radar/what-we-
learned-from-a-year-of-building-with-llms-part-i/
… https://
oreilly.com/radar/what-we-
learned-from-a-year-of-building-with-llms-part-i/
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LLM Apps with RAG Demos and Latest AI News
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Find all the awesome LLM Apps demo with RAG along with latest AI news and tools in one place: https://
unwindai.substack.com -
LLM Apps Demo with RAG and Latest AI News
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Find all the awesome LLM Apps demo with RAG along with latest AI news and tools in one place: https://
unwindai.substack.com -
Using Codestral to Implement Code Changes Efficiently
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Prompt codestral to make those changes in the code and it should be able to that.