Browse entries 913–936 of 1034. Return to the first page to search and filter the complete collection.
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AI Engineer session on Build enterprise generative AI apps using Llama 3 at 1,000 tokens/s on the SambaNova AI platform. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on E-Values Evaluating the Values of AI: Sheila Gulati and Nischal Nadhamuni. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Building LinkedIn's GenAI Platform, presented by Xiaofeng Wang. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Training Albatross An Expert Finance LLM: Leo Pekelis. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Low Level Technicals of LLMs: Daniel Han. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Pydantic is STILL all you need: Jason Liu. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Building efficient hybrid context query for LLM grounding: Simrat Hanspal. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Lessons From A Year Building With LLMs. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Insights on Building AI Teams, presented by Heath Black, SignalFire. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Keynote: The AI developer experience doesn't have to suck, presented by why and how we built Modal. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on The Multimodal Future of Education: Stefania Druga. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on The LLM Triangle: Engineering Principles for Robust AI Applications - Almog Baku:. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Accelerating Mixture of Experts Training With Rail Optimized InfiniBand Networking in Crusoe Cloud. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Cohere for VPs of AI: Vivek Muppalla. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Everything you need to know about Fine-tuning and Merging LLMs: Maxime Labonne. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on The Rise of the AI Software Engineer: Jesse Han. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Substrate Launch: the API for modular AI. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on AI Engineers: The Next Generation, presented by Stefania Druga, Google Gemini. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Your LLM Ran Out of Knowledge, presented by Now What?. It adds practical context for how teams are building and operating AI systems in production.
![[Full Workshop] Llama 3 at 1,000 tok/s on the SambaNova AI Platform video thumbnail](https://i.ytimg.com/vi/z_Xh2MzqKDM/hqdefault.jpg)
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AI Engineer session on [Full Workshop] Llama 3 at 1,000 tok/s on the SambaNova AI Platform. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on The Future of Knowledge Assistants: Jerry Liu. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on 10x Development: LLMs For the working Programmer - Manuel Odendahl. It adds practical context for how teams are building and operating AI systems in production.
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Claude Fable 5 banned, but what’s the bigger story. We go through 11 under-reported details, so you have the context to see what’s coming next for your use of AI. From whether the ban will last, what the possible motives are, what the model can actually do, and some wild over-extrapolations going on.
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The biggest Google AI push of the year, but what is the bigger story? Why is Google pursuing a different fork in the road than OpenAI or Anthropic? https://assemblyai.com/aiexplained What does Gemini 3.5 Flash mean for the near-term future of AI?