Our OpenAI DevDay Breakout Sessions are now live on YouTube. Check out deeper dives of our new features for developers, techniques for maximizing LLM performance, and more.
LLMS
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Whisper hallucination demo: ChatGPT-4 chat with baby wanting more milk
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Demo of Whisper hallucination — chat between ChatGPT 4 and a baby who wants more milk even though she just had two bottles:
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Self-Attention Mechanism Implementation for Language Models
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Understanding and Coding the Self-Attention Mechanism of Large Language Models From Scratch https://
bit.ly/3YL821l #AI #DeepLearning #MachineLearning #DataScience -
GPT-4 Turbo Performance Doubles: Major Impact on User Experience
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“From my own runs using our internal data, GPT-4 Turbo is more than twice as fast as GPT-4. In terms of product impact, this is big — big-big. […] The latency to first word or output seen by the user is drastically decreased with Turbo.” — @michaelvillar https://
michaelvillar.substack.com/p/gpt-4-turbo-
is-changing-the-game
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Amdocs Builds Custom LLMs for Telecom Generative AI
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@Amdocs to build custom #LLMs to allow communications service providers to efficiently deploy #generativeAI use cases across their businesses, from customer experiences to network operations and provisioning, using NVIDIA AI foundry service on @Azure
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nvda.ws/3MOqSBh -
Koble Accelerates Early-Stage Investment Discovery with AI Models
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Koble is changing the way investors identify early-stage investments and deploy capital faster to #startups with #AI-powered insights. Learn how they shaved off months of development to #finetune and deploy custom AI models and #LLMs with @predibase https://
pbase.ai/40ExBU1 -
RAG with SQL and Semantic Search using PGVector
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RAG w/ SQL + Semantic Search with PGVector A new LangChain template from @manuelsoria_ focuses on doing RAG (retrieval augmented generation) via a combination of SQL and semantic search It does this by writing PostgresSQL – which with the PGVector plugin allows for
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NVIDIA Generative AI Foundry Service Launches Custom LLM Development
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See how organizations like @SAP
, @Amdocs
, and @GettyImages are using the just-announced NVIDIA generative AI foundry service to build custom #LLMs. https://
nvda.ws/3QW961A #MSIgnite -
Quality and Safety Short Course for LLM Applications
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New short course! Quality and Safety for LLM Applications, created with @WhyLabs (an AI Fund portfolio company) and taught by @bernease, shows how you can mitigate hallucinations, data leakage, and jailbreaks. Come learn more in the course, available now! https://t.co/LjBD48jLcO pic.twitter.com/4eYYvX0KRJ
— Andrew Ng (@AndrewYNg) 15 novembre 2023New short course! Quality and Safety for LLM Applications, created with @WhyLabs (an AI Fund portfolio company) and taught by @bernease
, shows how you can mitigate hallucinations, data leakage, and jailbreaks. Come learn more in the course, available now! https://
deeplearning.ai/short-courses/
quality-safety-llm-applications/
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Open Source AI Platforms Should Escape EU AI Act Regulation
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Max, please. I have never claimed that "ChatGPT etc" should be "exempt from the EU AI Act". I have said that open source AI platforms, such as Llama-2, Mistral, and their exponentially increasing number of derivatives should not be regulated.
Product deployment can be regulated,