"I'm in a cheap hotel in California which doesn't have a good internet or phone connection. I was going to have an MRI scan today but I'll have to cancel that!"
- New physics laureate Geoffrey Hinton speaking at today’s press conference where his #NobelPrize was announced.
Another solid work by the Android agents team at @GoogleDeepMind. 800+ apps interactions is massive.
It would probably cover most of the use cases we can see on Android (so one can spend less time on thinking about generalization and focus on doing well on validation).
3 Forms of Query Rewriting for RAG ✍️
Good RAG requires good retrieval, and good retrieval requires a good query understanding layer. This is a comprehensive resource by @kingzzm showing you 3 key patterns for adding a query rewriting layer for better question-handling for your RAG pipelines 🔥
1. Sub-question decomposition: Break a complex question into sub-questions. Unlike pure chain of thought, you can break a question down into a parallelizable sub-questions that you can try answering all at once.
2. HyDE: rewrite the question to hallucinate an answer that better aligns with the embedding semantics.
3. Step-back prompting (from scratch ✨): To answer a complex question, take a “step back” and answer a more generic question to better answer the specific one.
Blog: https://t.co/jLxiBQjcWB
We remain committed to our partnership with OpenAI and have confidence in our product roadmap, our ability to continue to innovate with everything we announced at Microsoft Ignite, and in continuing to support our customers and partners. We look forward to getting to know Emmett Shear and OAI's new leadership team and working with them. And we’re extremely excited to share the news that Sam Altman and Greg Brockman, together with colleagues, will be joining Microsoft to lead a new advanced AI research team. We look forward to moving quickly to provide them with the resources needed for their success.
Code LLaMA is now on Perplexity’s LLaMa Chat!
Try asking it to write a function for you, or explain a code snippet: 🔗 https://t.co/rwcPzknBgE
This is the fastest way to try @MetaAI’s latest code-specialized LLM. With our model deployment expertise, we are able to provide you with this model less than 24 hours of it’s release.
What’s next?
We’ll integrate code LLaMA into Perplexity, all in service of providing you with the best answers to your most technical questions!
One of the greatest games ever. Well played Argentina and France. Jogo Bonito. Nobody deserves it more than #messi, imho the greatest ever to play the game. What a swansong. #FIFAWorldCup
We’re excited to announce support for GPU-accelerated PyTorch training on Mac! Now you can take advantage of Apple silicon GPUs to perform ML workflows like prototyping and fine-tuning. Learn more: https://t.co/8VmtnhfrZy
It's fascinating to me how localized the information human eyes process at a given moment (via fovea) compared with the current vision models.
I hope more papers on the latter will come up.