Michael Palmer

Brilliant technique by Anthropic. The research continues..I expect more breakthroughs in the retrieval techniques than pure LLM models. At least for AI commercialization in the enterprise space, context matters more than pure generative performance. https://lnkd.in/eRhFXAXP

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Learn how NVIDIA's CorrDiff model is transforming weather prediction using hashtag #GenerativeAI ☀️➡️ https://nvda.ws/4bIHe83 With extreme weather events expected to have more severe impacts on nations worldwide, CorrDiff is helping communities better prepare through hashtag #energyefficient high-resolution forecasts.🌦️

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DSPy seems like an interesting library. It makes “Prompt Engineering” as a real “Engineering” task. Excited to explore DSPy, a new library from Stanford NLP for building interactive AI workflows! This is a game-changer for anyone working with large language models (LLMs). Here's what DSPy brings to the table: Streamlined LLM Integration: DSPy simplifies the process of incorporating LLMs into your projects. Say goodbye to complex code and hello to a user-friendly interface. Interactive Prototyping: Rapidly develop and test LLM applications with DSPy's built-in tools. Get feedback and iterate quickly, saving you valuable time and resources. Focus on the Problem, Not the Plumbing: DSPy handles the technical heavy lifting, allowing you to focus on the core challenges you're trying to solve with LLMs. Whether you're a data scientist, machine learning engineer, or simply looking to explore the potential of LLMs, DSPy is a must-have tool. Check out the DSPy GitHub repo to learn more and get started. #AI #MachineLearning #LLMs #NaturalLanguageProcessing

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Blockchain interoperability- leveraging Hyperledger Cacti to integrate a Stellar and Besu blockchain Stellar Development Foundation Hyperledger Foundation #blockchain #hyperledger #interoperability

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This looks worth trying out. Share your experiences and thoughts, along with the context on how you are using it.

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