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DSPy: The End of Prompt Engineering - Kevin Madura, AlixPartners
AI Engineer· 2026-01-08 20:48
[music] Thanks everybody for uh for joining. I'm here to talk to you today about DSPI. Um, and feel free to jump in with questions or anything throughout the talk.It's, you know, I don't sp I don't plan on spending the full hour and a half or so. I know it's the last session of the day. So, um, keep it casual.Feel free to jump in. I'll start with a little bit of background. Don't want to go through too many slides.I'm technically a consultant, so I have to do some slides, but we will dive into the code for ...
IBM Expands Granite Model Family with New Multi-Modal and Reasoning AI Built for the Enterprise
Prnewswire· 2025-02-26 14:00
Core Insights - IBM has launched Granite 3.2, the next generation of its large language model family, focusing on delivering small, efficient, and practical enterprise AI solutions for real-world applications [1][4] Model Availability and Features - All Granite 3.2 models are available under the Apache 2.0 license on Hugging Face, with select models accessible on platforms like IBM watsonx.ai and others [2] - The Granite 3.2 8B model has shown high accuracy in the Salesforce LLM Benchmark for CRM, indicating its effectiveness in enterprise applications [2] Ecosystem and Partnerships - The Granite model family is supported by a robust ecosystem of partners, with companies like CrushBank highlighting the value of IBM's AI models in delivering performance, cost-effectiveness, and scalability [3] - Granite 3.2 introduces new reasoning capabilities and allows for programmatic control of reasoning processes, optimizing compute usage for various tasks [3] Technological Advancements - The Granite 3.2 models incorporate advanced reasoning techniques, such as inference scaling, enabling the 8B model to match or exceed the performance of larger models on math reasoning benchmarks [3][5] - IBM is also releasing the next generation of TinyTimeMixers (TTM) models, which are designed for long-term forecasting with less than 10 million parameters, applicable in finance, supply chain, and retail [3] Strategic Vision - IBM emphasizes that the next era of AI focuses on efficiency, integration, and real-world impact, aiming to make AI more accessible and valuable for modern enterprises [4] - The company is committed to developing open solutions that enhance the practicality and cost-effectiveness of AI technologies for businesses [4]