TheSequence - Meta and Amazon Generative AI Moves
Was this email forwarded to you? Sign up here Meta and Amazon Generative AI MovesSundays, The Sequence Scope brings a summary of the most important research papers, technology releases and VC funding deals in the artificial intelligence space.Next Week in The Sequence
📝 EditorialDuring a recent conversation with a few VCs, I was asked whether I thought generative AI could be the trend that propels Microsoft and Google ahead of other tech incumbents. Google and Microsoft have quickly integrated large language models (LLMs) into their search engines and business app suites. Given that progress in generative AI is anything but linear, it's fair to assume that first movers could have a unique advantage. When asked the question, I mentioned that I believed Meta AI had the research and distribution backbone to be highly competitive, especially with their active research in areas such as text-to-image and text-to-video. Amazon also has significant experience in this space with Alexa. This week, both Meta and Amazon demonstrated early signs of their strategies in the generative AI space. Meta AI unveiled the research and early access to LLaMA, a 65 billion parameter LLM that works efficiently across 20 languages. While LLaMA is significantly smaller than GPT-3 (175 billion parameters), Meta AI claims it outperforms the OpenAI alternative on most benchmarks. Meta AI also enabled early access to LLaMA, and we plan to discuss it in depth in a future edition of this newsletter. Amazon also made moves in the generative AI space, announcing a strategic alliance with Hugging Face to enable access to its foundation model suite in the SageMaker platform. As part of the collaboration, Hugging Face will also gain access to 1,000 GPUs available for a supercomputer cluster running SageMaker. This integration will make Hugging Face a first-class service in AWS, just like you can currently access the OpenAI API via Azure. Both Meta and Amazon's announcements demonstrate their intent to be competitive in the generative AI space. However, I couldn't answer the question of "What about Apple?" 🔎 ML ResearchLLaMAMeta AI published a paper introducing the Large Language Model Meta AI( LLaMA), a 65 billion parameters language model able to master tasks across 20 different languages —> Read more. Foundational UI UnderstandingGoogle Research published a paper detailing a computer vision model able to master UI tasks from raw pixels —> Read more. Few-Shot Region Aware Machine TranslationGoogle Research published a paper introducing a dataset to evaluate machine translation systems in their ability to support regional linguistic varieties —> Read more. Text-To-Image for Robot TrainingResearchers from Meta AI and the University of Washington published a paper discussing GenAug, a text-to-image method for imitation learning in robots —> Read more. 🤖 Cool AI Tech ReleasesAI-Bing on Edge Mobile App and SkypeMicrosoft previews its AI-powered Bing experience for Edge mobile apps and Skype —> Read more. OpenAI FoundryOpenAI unveiled details about Foundry, a program that allow developers to run instances of GPT-3.5 on dedicated infrastructure —> Read more. LandingLensAndrew Ng’s led Landing AI unveiled LandingLens, a new cloud platform for computer vision —> Read more. 🛠 Real World MLData Drifts at UberUber discuses the architecture used to monitor data drift in their ML pipelines —> Read more. Responsible AI at LinkedInThe LinkedIn engineering team discusses some of the responsible AI principles that they try to enforce in their applications —> Read more. 📡AI Radar
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