MistralAI has released a fine-tuning API that allows for the optimization of large language models (LLMs) by training them on targeted datasets, enhancing their performance. The open-mistral-7B model can be fine-tuned using this API. LlamaIndex is an essential tool for preparing and managing data for fine-tuning these LLMs within the Hyperstack GPU cloud environment. Additionally, LlamaIndex has integrated with OpenAI, enabling it to work with over 200 LLMs. The platform also supports building Multi-Agent RAG systems using CrewAI, a popular framework for defining and augmenting agents with different roles to solve tasks.
Use your @crewAIInc agents with @llama_index! https://t.co/siZODC0C1C
Building Multi-Agent RAG with LlamaIndex + @crewAIInc 💫 CrewAI is one of the most popular and intuitive frameworks for building multi-agent systems - define a “crew” of agents with different roles that work together to solve a task. You can now easily augment these agents with… https://t.co/JlUuULtQeE
Our @llama_index integration really is that simple → We just make the OpenAI class in Llamaindex work with 200+ LLMs 🫡 https://t.co/nqER9xWgYZ
🦙@llama_index is an essential tool for preparing and managing data for fine-tuning large language models 🦙 Use #LlamaIndex within the Hyperstack GPU cloud environment to facilitate the synthesis and management of data for fine-tuning #LLMs like those from @MistralAI. Get… https://t.co/LBee80LNZK
open-mistral-7B fine-tuning with @MistralAI fine-tuning API and LlamaIndex. Fine-tuning optimizes LLMs for specific tasks by training them further on targeted datasets, enhancing performance. Recently, MistralAI released fine-tuning API to easily fine-tune all their open-source… https://t.co/LT4l4ikkx9
LLM is out CLLM (Consistency Large Language Models) is in 🚀 ✨ The fine-tuning cost of CLLMs is moderate, e.g., training on only ∼1M tokens for LLaMA-7B to achieve a 3.4X speedup on the Spider dataset, using Jacobi decoding with nearly no loss in accuracy. 🤯 Paper -… https://t.co/0H5uOPyKAs