Categories: AI/ML Research

5 Python Libraries to Build an Optimized RAG System

Retrieval augmented generation (RAG) has become a vital technique in contemporary AI systems, allowing large language models (LLMs) to integrate external data in real time.
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Recent Posts

Some recent Chroma renders

Model: https://huggingface.co/silveroxides/Chroma-GGUF/blob/main/chroma-unlocked-v38-detail-calibrated/chroma-unlocked-v38-detail-calibrated-Q8_0.gguf Workflow: https://huggingface.co/lodestones/Chroma/resolve/main/simple_workflow.json Prompts used: High detail photo showing an abandoned Renaissance painter’s studio…

19 hours ago

A Gentle Introduction to Multi-Head Latent Attention (MLA)

This post is divided into three parts; they are: • Low-Rank Approximation of Matrices •…

19 hours ago

Converting Pandas DataFrames to PyTorch DataLoaders for Custom Deep Learning Model Training

Pandas DataFrames are powerful and versatile data manipulation and analysis tools.

19 hours ago

Securing America’s Defense Industrial Base

Palantir FedStart and the Path to CMMC ComplianceSecuring the Defense Industrial BaseNever has the imperative…

19 hours ago

No-code data preparation for time series forecasting using Amazon SageMaker Canvas

Time series forecasting helps businesses predict future trends based on historical data patterns, whether it’s…

19 hours ago

Beyond static AI: MIT’s new framework lets models teach themselves

MIT researchers developed SEAL, a framework that lets language models continuously learn new knowledge and…

20 hours ago