Please wait while we find the best results for you.
Analyzing content and applying filters...
As model performance converges, prompt optimization is the new competitive edge. In this session, we revisit DSPy to cover the ... | Channel: AI...
DSPy Code Short Demo: The Comprehensive CLI to build and optimize DSPy CodeYour AI-Powered DSPy Development ... | Channel: Superagentic AI
Configuration-driven Python library integration for Elixir. Automatically generate type-safe Elixir modules from declarative configs with zero...
🔍 Analyze GitHub star patterns in the DSPy repository with robust scripts for data collection, parsing, and visualization of key statistics. |...
Dive into the world of DSPy, the groundbreaking Prompt Programming Framework, with this comprehensive guide! Whether ... | Channel: At A Glance!
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
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 ... |...
🌐 Detect and prevent safety overrides in LLM systems with this DSPy-based framework, ensuring actions align with safety constraints. | Language:...
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...
In this TEXTGRAD framework, each AI system is transformed into a computation graph, where variables are inputs and outputs of ... | Channel: Discover...
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 “control knobs” for tweaking our output. #training #genai #shorts And so ... | Channel: AI...
DSPy: Declarative Programming for Large Language Models DSPy: Prompt Optimization. Declarative Programming for Large ... | Channel: AI Podcast...
Hey everyone! Thanks so much for watching the recording of our DSPy Boston event! Huge thank you to everyone who attended, ... | Channel: Weaviate...
Transform your LLM development from chaotic prompt strings to production-ready, self-optimizing pipelines. In this Dagster Deep ... | Channel: Dagster
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...
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