It's not real until there is a LangChain integration...
PR open for Prediction Guard as an LLM in LangChain: https://github.com/hwchase17/langchain/pull/3370
Let's go!
Add LLM wrapper and examples for Prediction Guard. The Prediction Guard docs can be found here. If you aren't familiar with this project: With Prediction Guard you: Create examples of the input a...
The "Prediction Guard" system helps devs quickly find and reliably integrate the best #AI models for their use case (e.g. LLMs like those shown).
If you dig this, "like" this video by clicking 👍 on YouTube (not here): https://youtu.be/QcE2MqnAQog. I'm up for a prize at @INFORMS this week!
Spent the weekend adding tests, database migration scripts, and some automation to the Prediction Guard (https://www.predictionguard.com/) API! Will be sending out invites to more people on the wait-list his week.
Also, I have an example in the works to show Prediction Guard and LangChain together for the best possible #AI app integrations.
LangChain:
- Prompt templates
- Chaining
- Agents
- etc
Prediction Guard:
- Model selection
- Model fallbacks
- Future proofing
- etc
Probably the most important application of #AI that I've seen recently. I'm now a saint thanks to: https://paintedsaintly.com
Wow! So honored to see the @practicalai podcast featured by Pocket Casts in their #AI revolution list! Listen to our latest episodes here: https://changelog.com/practicalai
Today I used Prediction Guard (https://www.predictionguard.com/) to compare 14 different SOTA machine translation models across a bunch of languages. I found an optimized model for each language pair, given a set of domain specific examples.
Long story short... NLLB from Meta/Facebook is dope. #AI #NLProc
There's too much hype about Metaverse, Multiverse, and all the verses. 😀
On this week's @practicalai, Beau Perschall (NVIDIA) discusses 3D assets that are actually useful for industrial #AI applications! Simulation, synthetic data, and more. Listen now: https://changelog.com/practicalai/209
What’s the current reality and practical implications of using 3D environments for simulation and synthetic data creation? In this episode, we cut right through the hype of the Metaverse, Multiverse, Omniverse, and all the “verses” to understand how 3D assets and tooling are actually helping AI developers develop indus...
🔥Hot take: you shouldn't care about the specific #AI model you are using. It'll be obsolete in a matter of weeks.
But... there's good news. I recently built "Prediction Guard" to future proof my inferences!
🚀Launching publicly soon. Join the waitlist: https://predictionguard.com
I had a delightful time setting up a #GPU-based dev environment... When's the last time you said that? 😀
With brev.dev, I had my VS Code running stable diffusion on a GPU in the cloud in minutes. Learn more on this week's @practicalai: https://changelog.com/practicalai/208
Creating and sharing reproducible development environments for AI experiments and production systems is a huge pain. You have all sorts of weird dependencies, and then you have to deal with GPUs and NVIDIA drivers on top of all that! brev.dev is attempting to mitigate this pain and create delightful GPU dev environment...
