NEW TextGrad by Stanford: Better than DSPy
In this TEXTGRAD framework, each AI system is transformed into a computation graph, where variables are inputs and outputs of ... | Channel: Discover...
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In this TEXTGRAD framework, each AI system is transformed into a computation graph, where variables are inputs and outputs of ... | Channel: Discover...
RL-driven framework that composes modular DSPy pipelines and teleprompters to improve LLM reasoning (experiments use GPT-2). | Language: Jupyter...
About Ben Rombaut Benjamin Rombaut is a Software Engineering Researcher with the Centre for Software Excellence, Huawei ... | Channel: aiware
Link to Colab Notebook: https://colab.research.google.com/drive/10eybjbFqavP6RLcgNjxp7mwEXb0LNXWj?usp=sharing This ... | Channel: Richard Aragon
Inserting DSPy at the input level before the LLM gives us βcontrol knobsβ for tweaking our output. #training #genai #shorts And so ... | Channel: AI...
We have well-established frameworks like LangChain and LLlamaIndex for building apps with LLMs. So why another framework ... | Channel: AI Bites
Can you tell me about DSPy metrics -Metrics range from simple, intermediate to advanced functions that evaluate the data ... | Channel: Kamalraj M M
Is Prompt Engineering really the best way to build robust applications? Well, DSPy is here to challenge that. Let's look at a ... | Channel:...
DSPy Forge: A powerful tool for building and deploying multi-step agent programs on Databricks using DSPy. | Language: Python | License: MIT License
Hear from the CTO of Algorithma on his view of DSPy.
In this video, we're going to dive Deep into DSPy Prompts, how to use them, how to debug them. Subscribe for many more to ... | Channel: Learn By...
LLMs are powerful, but the way we use them is evolving. In this episode of 'Technically Speaking', our teammate Ben explores ... | Channel: Source...
Is DSPy just another prompt optimization tool? According to Prashanth Rao from Kuzu, that's only part of the story. In this clip, he ... | Channel:...
π Meta-AI Orchestrator unifies multiple LLMs with dynamic routing, RAG search, and DAG pipelines for enterprise AI workloads across providers, with...
The open LLM Ops platform - Traces, Analytics, Evaluations, Datasets and Prompt Optimization β¨ | Language: TypeScript | License: Other
Learn about MLOps, how to build an online community, and tools for scaling LLMs as Demetrios Brinkmann joins ... | Channel: Super Data Science: ML &...
Welcome to our in-depth exploration of DSPY, a groundbreaking technology developed by Stanford NLP University designed to ... | Channel: Mervin...
Unlock the full potential of AI with PydanticAI and DSPy! Learn how to build smarter, scalable agents using: βοΈ Dynamic ... | Channel: Sean Chatman...