GitHub Details Key Prompt Engineering Practices Used to Build Copilot

Prompt engineering is key to create effective LLM-based applications and it does not require to have a PhD in machine learning or generative AI, say GitHub engineers Albert Ziegler and John Berryman, who also shared the lessons they learned developing GitHub Copilot.

Meta Open Sourced AudioCraft, its Text-to-Music Generative AI

Meta has open sourced its text-to-music generative AI, AudioCraft, for researchers and practitioners to train their own models and help advance the state of the art.

Feature Engineering at AirBnb Using Chronon

To increase productivity and scalability when creating new features to use in machine learning models, AirBnb has built Chronon, a solution to create the infrastructure required to turn raw data into features for training and inference.

MetaGPT Leverages Human Collaboration Techniques for Multi-agent-based Software Engineering

Created by a team of researchers from Chinese and US universities, MetaGPT is a new LLM-based meta programming framework aiming to enable collaboration in multi-agent systems by leveraging human procedural knowledge to enhance robustness, reduce errors, and engineer software solutions for complex tasks.

GPT-3.5 Turbo Can Now Be Fine-Tuned for Improved Quality And Performance

OpenAI has made GPT-3.5 Turbo available to developers, with the added bonus of allowing them to customize the model to improve performance for their specific use cases. According to OpenAI, fine-tuning GPT-3.5 Turbo can even outperform base GPT-4 for certain tasks.