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Prompt Optimization with DSPy
As model performance converges, prompt optimization is the new competitive edge. In this session, we revisit DSPy to cover the ... | Channel: AI...
DSPy Code Demo: The Comprehensive CLI to build and optimize DSPy Code
DSPy Code Short Demo: The Comprehensive CLI to build and optimize DSPy CodeYour AI-Powered DSPy Development ... | Channel: Superagentic AI
nshkrdotcom/snakebridge
Configuration-driven Python library integration for Elixir. Automatically generate type-safe Elixir modules from declarative configs with zero...
Phenomenonbantu894/dspy-star-analysis
π Analyze GitHub star patterns in the DSPy repository with robust scripts for data collection, parsing, and visualization of key statistics. |...
DSPy Explained! | Auto Prompting and Reasoning | Configure any LLM in DSPy | Components of DSPy #ai
Dive into the world of DSPy, the groundbreaking Prompt Programming Framework, with this comprehensive guide! Whether ... | Channel: At A Glance!
DSPy Few Shot Prompt Optimization #llm #promptengineering #datascience #ai #agent
Prompt few shot examples is what drives accuracy up. How should you choose which examples are worthy of the honor to be ... | Channel: Hacking AI
Using DSPy for Prompt Optimization in Python: Example of Calibrating Quiz Bowl Questions [Lecture]
This is a single lecture from a course. If you you like the material and want more context (e.g., the lectures that came before), check ... |...
eddyayalagil/override-cascade-dspy
π Detect and prevent safety overrides in LLM systems with this DSPy-based framework, ensuring actions align with safety constraints. | Language:...
Alex Noonan on X - Code snippet
For the AI component or so-called "Agent", I used dspy which has the best abstractions for building AI based software these days, very pythonic and...
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...
Day 4: Hands on - DSPy Tutorial, Ben Rombaut
About Ben Rombaut Benjamin Rombaut is a Software Engineering Researcher with the Centre for Software Excellence, Huawei ... | Channel: aiware
Using Stanford DSPy Framework To Train A LLM Model To Reason
Link to Colab Notebook: https://colab.research.google.com/drive/10eybjbFqavP6RLcgNjxp7mwEXb0LNXWj?usp=sharing This ... | Channel: Richard Aragon
DSPy is a set of controls at the input level for better outputs #Shorts
Inserting DSPy at the input level before the LLM gives us βcontrol knobsβ for tweaking our output. #training #genai #shorts And so ... | Channel: AI...
DSPy: Prompt Optimization. Declarative Programming for Large Language Models (LLMs)
DSPy: Declarative Programming for Large Language Models DSPy: Prompt Optimization. Declarative Programming for Large ... | Channel: AI Podcast...
DSPy Boston - 10/15/2025
Hey everyone! Thanks so much for watching the recording of our DSPy Boston event! Huge thank you to everyone who attended, ... | Channel: Weaviate...
Dagster Deep Dive - Stop Writing Prompt Spaghetti: Production LLM Engineering with DSPy & Dagster
Transform your LLM development from chaotic prompt strings to production-ready, self-optimizing pipelines. In this Dagster Deep ... | Channel: Dagster
How to build your own long-term Agentic Memory System for LLMs | Mem0 from scratch in DSPy
In this video we are using DSPy and QDrant Vector Database to create our own memory system from scratch! We are building the ... | Channel: Neural...
DsPy Tutorial - optimize your LLM pipelines with DsPy (Part 1)
We have well-established frameworks like LangChain and LLlamaIndex for building apps with LLMs. So why another framework ... | Channel: AI Bites