Podman AI Lab is the easiest way to work with Large Language Models (LLMs) on your local developer workstation. It provides a catalog of recipes, a curated list of open source models, experiment and compare the models, get ahead of the curve and take your development to new heights wth Podman AI Lab!
Introduces proxy-tuning, a lightweight decoding-time algorithm that operates on top of black-box LMs to achieve the same end as direct tuning. The method tunes a smaller LM, then applies the difference between the predictions of the small tuned and untuned LMs to shift the original predictions of the larger untuned model in the direction of tuning, while retaining the benefits of larger-scale pretraining.
In this tutorial, learn how to improve the performance of large language models (LLMs) by utilizing a proxy tuning approach, which enables more efficient fine-tuning and better integration with the AI model.
- Proxy fine-tuning is a method to improve large pre-trained language models without directly accessing their weights.
- It operates on top of black-box LLMs by utilizing only their predictions.
- The approach combines elements of retrieval-based techniques, fine-tuning, and domain-specific adaptations.
- Proxy fine-tuning can be used to achieve the performance of heavily-tuned large models by only tuning smaller models.
- standardization, governance, simplified troubleshooting, and reusability in ML application development.
- integrations with vector databases and LLM providers to support new applications -
provides tutorials on integrating
This article provides a comprehensive guide to performing exploratory data analysis on time series data, with a focus on feature engineering.
This article provides a beginner-friendly introduction to Large Language Models (LLMs) and explains the key concepts in a clear and organized way.
AI Helps Make Web Scraping Faster And Easier: Scrapegraph-ai is a new tool that uses large language models (LLMs) to automate the process of web scraping and data processing.
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