5 techniques to fine-tune LLMs, explained visually!
Curiosity: However, the development of some innovative methods have transformed this process.
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LATEST INVESTIGATIONS
Source audits & field notes
10 Essential Components of a Production Web Application.
Curiosity: What components are essential for building production-ready web applications?
馃攭 Meta's latest "CoPE" (Contextual Position Encoding)
Curiosity: How can we improve positional encoding to handle higher levels of abstraction?
RAG or Fine Tuning? Fine-tune Embedding models for Retrieval Augmented Generation (RAG)
For customizing LLMs, in addition to RAG, another optimization technique is fine-tuning.
馃檶 Anthropic's latest tool-use course
Curiosity: How can LLMs autonomously use external tools and APIs? What makes tool-use essential for building intelligent agents?
TRAG meets GNNs
Curiosity: How can we combine Knowledge Graphs with LLMs for better question answering?
![["AutoML Advantages and Top 30 Libraries"]](/assets/img/news/AutoML_Top_30_Libraries.jpeg)
AutoML Applications, Advantages and Top 30 Libraries 馃摎
AutoML transforms ML workflows, boosting efficiency and innovation.
NPGA Audit: Neural Parametric Gaussian Avatars, Two Years On
A source audit of NPGA against its own tables: the framework is worth 2.01 PSNR at fixed tracking, the expression space 1.44, and the code is still unreleased.
3D Language Gaussian Splatting ( LangSplat )
Curiosity: How can we integrate semantic understanding into 3D Gaussian Splatting?
Single Image to Novel Views with Semantic-Preserving Generative Warping ( GenWarp )
Curiosity: How can we generate novel views from a single image while preserving semantic details?
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