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Simple task: to improve the intelligence of AI systems beyond given inherent limitations. Improve complex reasoning capabilities ... | Channel:...
Stop prompt engineering in LangChain. You wouldn't hand-select weights of your neural network, so don't hand-select your ... | Channel: Databricks
Writing prompts for our GenAI applications is long, tedious, and unmaintainable. A proper software development lifecycle requires ... | Channel:...
DSPy simplifies prompt tuning for optimal LLM responses. We fine-tune prompts based on input/output analysis, addressing ... | Channel: Convergence...
GEPA is a SUPER exciting advancement for DSPy and a new generation of optimization algorithms re-imagined with LLMs! | Channel: Weaviate vector...
Lifetime access to ADVANCED-inference Repo (incl. DSPy scripts in this vid.): https://trelis.com/ADVANCED-inference/ ... | Channel: Trelis Research
Will discuss the principles for building AI software that underpin DSPy, highlighting the differences between conventional ... | Channel: AI Engineer
Learn more: https://bit.ly/4mIpgcJ As generative AI applications grow more complex, spanning reasoning, retrieval, and tool use, ... | Channel:...
A production-ready GenAI application is more than the framework itself. Like ML, you need a unified platform to create an ... | Channel: Databricks
Can algorithmically optimizing prompts outperform prompt engineering? Resources: DSPy Breakdown: ... | Channel: Adam Lucek
DSPy is here and relevant for everyone in Generative AI. DSPy brings a systematic approach to prompting that gives you ... | Channel: Rajistics -...
Context engineering is rising in popularity because prompting alone isn't enough—we're still figuring out how to build reliable AI ... | Channel:...
What is the magic of DSPY? Should I learn DSPY now? Is it MCP compatible? How to integrate agents into DSPY? What the *** is ... | Channel: Discover...
The DSPy OSS team at Databricks and beyond is excited to present DSPy 3.0, targeted for release close to DAIS 2025. We will ... | Channel: Databricks
Welcome to my latest video where I show you the future of AI agent development! In this quick demo, I'll take a quick look at how ... | Channel:...
This comprehensive guide to Context Engineering shows how to build powerful and reliable applications with Large Language ... | Channel: Neural...
Complete introduction to the simplest, most efficient, and yet most powerful way I've found to create AI agents, AI workflows, and AI ... | Channel:...
In this video, I am going to explain DSPy in simple words with a simple example. If, by end of the video, you are still unable to ... | Channel: Fahd...
In this video, we talk about Stanford NLP's DSPy - a new LLM Programming framework that helps with prompting, bootstrapping, ... | Channel: Neural...
Large Language Models (LLMs) excel at understanding messy, real-world data, but integrating them into production systems ... | Channel: Databricks