Mastering Rag and DSP: Boost Performance by 30% with Connor Shorten
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In this riveting tutorial by Connor Shorten, we are catapulted into the thrilling world of Rag and DSP, where the excitement is palpable. The journey kicks off with an exhilarating end-to-end process that includes loading data sets, defining LM metrics, and optimizing prompts for peak performance. This isn't just any tutorial; it's a heart-pounding adventure into the next era of programming, where the possibilities seem endless with the innovative prompting framework and automatic optimization tools at our disposal. Strap in, folks, because we're about to witness the evolution of LM programming like never before.
As we dive deeper into the tutorial, Connor takes us through the intricate process of writing rag programs using the DSP programming model. We explore the built-in modules, such as Chain of Thought react, and uncover the magic of compiling and optimizing prompts using bootstrap F-shot examples and the Beijan signature Optimizer. The tutorial isn't just informative; it's a thrill ride through the realm of DSP, where every line of code holds the promise of a 30% improvement in uncompiled rag programs. The adrenaline is pumping as we scratch the surface of what DSP has to offer.
Connor's tutorial isn't just a run-of-the-mill guide; it's a beacon of inspiration for budding programmers looking to conquer the world of DSP. With nods to the vibrant DSP community and mentions of key players like Christa OBS Solong and Sean Chapman, we get a glimpse of the collaborative spirit driving DSP forward. The tutorial doesn't just teach us how to write and optimize programs; it ignites a spark of creativity, urging us to push the boundaries of what's possible with DSP. So buckle up, gearheads, because this tutorial isn't just a hello world of DSP; it's a high-octane journey into the uncharted territories of programming excellence.
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Watch Getting Started with RAG in DSPy! on Youtube
Viewer Reactions for Getting Started with RAG in DSPy!
Viewers appreciate Connor's excitement and engagement in the DSPy community
Requests for more in-depth videos on optimization processes and extracting structured data
Questions about saving optimized programs, GPT call costs, applying DSPy RAG on PDF files, and running DSPY on a local Windows environment
Suggestions for covering topics such as creating a schema from an empty database, using DSPy in production, and loading personal data to Weaviate
Some viewers suggest being more concise in videos to respect the audience's time
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