/AI Weekly/Issue 64
Introducing GitHub Models: A new generation of AI engineers building on GitHub
Published Tuesday, August 6, 2024
Microsoft empowers AI developers by bringing a curated list of Azure AI models to a community of more than 100 million on GitHub. Learn more.
So-called “unlearning” techniques are used to make a generative AI model forget specific and undesirable info it picked up from training data, like sensitive private data or copyrighted material. But current unlearning techniques are a double-edged sword: They could make a model like OpenAI’s GPT-4o or Meta’s Llama 3.1 405B much less capable of answering […]
We think you’ll like this week’s paper for its quirkiness. Because it’s summertime, we feel it’s a great time for something different. In this paper, they explore how to use machine learning to estimate the difficulty of learning and playing a music piece. Enjoy!
Groq, a startup developing chips to run generative AI models faster than conventional processors, said on Monday that it’s raised $640 million in a new funding round led by Blackrock. Neuberger Berman, Type One Ventures, Cisco, KDDI and Samsung Catalyst Fund also participated.
A few months ago, I released the Film Search app, a Retrieval-Augmented Generation (RAG) application designed to recommend films based on user queries. def evaluate_with_ragas(query, model_output):
Taking handwritten notes digitally comes with many benefits but lacks searchability of your notes. Hence, there is a need to make your handwritten notes searchable. This can be achieved with "handwritten text recognition" (HTR), which is the process of assigning searchable text to written strokes.
The AI links worth your time, curated by the community and always free.
