Tweet Thread: RLM implementation in Gemini Ecosystem
Implements Recursive Language Models (RLM) for Gemini using strictly Google ecosystem tools, Google Colab (for the runtime/compute), Vertex AI (for...
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Implements Recursive Language Models (RLM) for Gemini using strictly Google ecosystem tools, Google Colab (for the runtime/compute), Vertex AI (for...
Omar Khattab explains the philosophy driving DSPy. It's not just for prompt optimization; it's about turning AI software into an ... | Channel: cmpnd
llm #ai #chatgpt #prompt #prompting #python #rag #openai In DSPy, you only need to declare the required "Natural Language ... | Channel: Gao Dalie...
Demonstration of DSPy optimization for Skill.md files | Language: Python | License: MIT License
As model performance converges, prompt optimization is the new competitive edge. In this session, we revisit DSPy to cover the ... | Channel: AI...
Claude Skill for DSPy.rb - Type-safe LLM application development in Ruby | License: MIT License
Part II of our series: "DSPy: Advanced RAG"! Building on our initial exploration of prompt engineering, this session expands into the dynamic...
GEPA can improve your AI agent performance simply by evolving the instruction or prompt.
Data Engineering Theatre Thursday, 25th Sep 12:00 - 12:30 Data teams know the pain of moving from proof-of-concepts to ... | Channel: Big Data LDN
Discover how Agent Zero integrates with DSPy to create self-improving quantitative trading systems with institutional-grade ... | Channel: Agent Zero...
The talk explores how to manage multiple AI assistants through a **flexible Routing Agent** that automatically directs queries to the right model....
DSPy Forge: A visual tool for building and deploying compound agent programs using DSPy. | Language: Python | License: MIT License
An AI agents framework addressing the two core challenges with real world agents - Optimisation and Deployement | License: MIT License
How to extract any information from images using DSPY and Gemini models. | Channel: kevin herbas
The open LLM Ops platform - Traces, Analytics, Evaluations, Datasets and Prompt Optimization ✨ | Language: TypeScript | License: Other
Advanced RAG pipeline optimization framework using DSPy. Implements modular RAG pipelines with Query-Rewriting, Sub-Query Decomposition, and Hybrid...
DSPy framework for detecting and preventing safety override cascades in LLM systems. Research-grade implementation for studying when completion...
A DSPy library for security-aware LLM development using Bandit. | Language: Python | License: MIT License