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Welcome to AI Friday where PeerPulse Dispatch brings you a selection of handpicked AI tools, tips, prompts and more.
Today, Vishwas Mruthyunjaya - PeerPulse CTO, AI and Robotics Researcher brings you a useful selection of AI material.
MetaGPT (Check Github)
This is a multi-agent framework where agents are assigned roles such as software dev, manager, sales, product, etc. All these agents work in tandem to build an end-to-end working software pipeline.
MetaGPT outputs user stories, competitive analysis, requirements, data structures, APIs, documentation, etc. from a one-line demand.
MetaGPT has product managers, architects, project managers, and engineers. It supports the complete software company process with precisely choreographed SOPs.
LLM Powered Autonomous Agents (Check Github Article)
This blogpost explores using LLM for more than just text generation and getting codeblocks as answers. Lilian Wang provides a comprehensive overview of using LLMs for autonomous agents.
LLaMa 2 (Check it on Meta)
LLaMa 2 is an update to Meta’s neural network.
This is an amazing update by Meta because this improved version is trained on 40% more data than its predecessor.
This is an open-source Large Language Model that can be used out of the box for embedding tasks or even fine-tuning this LLM with our own data.
LLM Data Generator (Check the Paper)
Given that there is always a problem of where to get enough data for our ML models, these LLms are proving to be a goldmine for generating training data. This paper gives a good insight into data generation using LLMs.
GOAT (Check the Paper)
Given that GPT4 is taking over the world by storm, the GOAT - LLaMa (fine-tuned) outperforms GPT-4 on Arithmetic tasks.
It shows better tokenisation of digits.
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