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@SambaNovaAI is a proud sponsor of the ITIF "Instruction Tuning and Instruction Following" workshop at #NeurIPS2023! The workshop will cover exciting research in ITIF and evaluation of instruction tuned models. The workshop features invited talks, peer reviewed papers, and a
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SambaNova Sponsors NeurIPS 2023 Instruction Tuning Workshop
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Back Online: ChatGPT Creates Festive Sick Santa Image
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After five days with the flu, I'm slowing coming online…Terrible timing with all the AI news and so many fun holiday festivities! To celebrate being back, I had @ChatGPTapp make me an image of "Santa with the flu."
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Tesla Recalls Autopilot Software in 2 Million Vehicles
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Tesla Recalls Autopilot Software in 2 Million Vehicles:
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Google Resonator: Game Interface Explores Music AI Models
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Join us at the #NeurIPS2023 Google booth today at 12:45pm when Erin Drake Kajioka & Michal Todorovic will host a demo of resonator, an experimental game-based interface for exploring & discovering music through 3D visualizations of a music understanding model embedding. pic.twitter.com/D7izRwqexq
— Google AI (@GoogleAI) 13 décembre 2023Join us at the #NeurIPS2023 Google booth today at 12:45pm when Erin Drake Kajioka & Michal Todorovic will host a demo of resonator, an experimental game-based interface for exploring & discovering music through 3D visualizations of a music understanding model embedding.
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Microsoft’s AI Chat API Brings Ads to Publisher Bots
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Axel Springer also was one of the first partners for Microsoft's chat API for publishers, which integrated chat ads into @BILD
's “Hey" bot back in September. https://
digiday.com/media/microsof
t-heralds-a-new-age-of-ai-copilots-across-hardware-software-and-advertising/
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GBDTs Training Optimization: Learning Rate Effects on Tabular Data
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Maybe, but even for pretty large models training time for GBDTs is so low that it might not be a major issue. I also think that due to “jagged” nature of tabular data manifolds, using longer lr initially might be detrimental to finding the global optimum.
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Probabilistic Models and Text Embeddings: Learning p(e)
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for sure, the probabilistic breakdown is the same: given text sequence x and its embedding e, p(x) = p(x | e) p(e). this looks a lot like a latent variable model with latent embedding e in my case p(x | e) is done by vec2text with openAI embeddings; we just need to learn p(e)
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Gemini Pro Powers Duet AI for Workspace Clarification
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So is Gemini Pro now powering Duet AI for Workspace? Just want to clarify I’m interpreting this correctly.
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Free LLM Course from Gen AI 360 Foundational Model Certification
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Jump on our free LLM course from the Gen AI 360 Foundational Model Certification (Built in collaboration with Activeloop, Towards AI, and the Intel Disruptor Initiative): https://
learn.activeloop.ai/courses/llms/?
utm_source=social&utm_medium=youtube&utm_campaign=llmcourse
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RLHF and RLAIF: Training Techniques Revolutionizing Language Models
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Discover the magic behind ChatGPT's effectiveness in our deep dive into RLHF and its innovative counterpart, RLAIF. Learn how these training techniques are revolutionizing language models, making them safer, smarter, and more efficient.