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LLM

5 minute read

Large Context Windows: Lots of Bucks, Where's the Bang?

GenAI's potential is vast, but practicality lags. Yurts compares Retrieval Augmented Generation (RAG) to large context models for knowledge retrieval, favoring RAG's accuracy and scalability for enterprise use.

12 minute read

RAG Systems vs. LCW: Performance and Cost Trade-offs

Comparing RAG systems and LCW models on Needle in a Haystack benchmarks, showing RAG's superior performance and scalability, highlighting the need for better benchmarks for LCW models.

10 minute read

Enhancing Enterprise Efficiency: Quantization for Cost-effective LLM Deployment

Next-gen AI without breaking the bank! AWQ, a quantization method, boosts deploying LLMs' cost-effectiveness by cutting GPU needs, enabling wider access to advanced AI technology at lower costs.

7 minute read

Navigating the Challenges of Fine Tuning and Catastrophic Forgetting

Learn to fine-tune LLMs with FIP & LoRA methods to beat "Catastrophic Forgetting" for robust AI applications across industries.

2 minute read

Enterprise AI With Retrieval Augmented Generation: AI Technology Beyond LLMs

Learn how Retrieval Augmented Generation (RAG) is transforming enterprise AI and overcoming limitations of LLMs.

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