Flipboard

NOVEMBER 17, 2023

Generative AI models have the potential to revolutionize enterprise operations, but businesses must carefully consider how to harness their power while overcoming challenges such as safeguarding data and ensuring the quality of AI-generated content. Solution overview The following diagram illustrates the solution architecture.

Large Language Models 126

Large Language Models LLM Natural Language Processing ML 126

Towards AI

OCTOBER 16, 2023

Photo by Markus Spiske on Unsplash This is the second part of the RAG analysis: part 1: Disadvantages of RAG part 2: Practical Considerations in RAG Application Design The RAG (Retrieval Augmented Generation) architecture has been proven to be efficient in overcoming the LLM input length limit and the knowledge cutoff problem.

LLM 52

LLM Explainability Generative AI AI 52

AWS Machine Learning Blog

SEPTEMBER 27, 2023

Notably, these use cases are not limited to the Amazon D&C team alone but are applicable to the broader scope of Global Engineering Services involved in project deployment. The existing generative AI solutions for question answering are mainly based on Retrieval Augmented Generation (RAG).

Generative AI 88

Generative AI LLM AI AI 88

AWS Machine Learning Blog

NOVEMBER 22, 2023

In this post, we give you a sense of how the track is organized and highlight a few sessions we think you’ll like. Then, as we started doing last re:Invent, we’ll be offering several sessions on how to build AI responsibly. And although our track focuses on generative AI, many other tracks have related sessions.

ML 110

ML Generative AI Prompt Engineer Prompt Engineering 110

AWS Machine Learning Blog

SEPTEMBER 15, 2023

Large language model (LLM) agents are programs that extend the capabilities of standalone LLMs with 1) access to external tools (APIs, functions, webhooks, plugins, and so on), and 2) the ability to plan and execute tasks in a self-directed fashion. We conclude the post with items to consider before deploying LLM agents to production.

LLM 102

LLM Prompt Engineer Prompt Engineering Large Language Models 102

AWS Machine Learning Blog

NOVEMBER 15, 2023

Llama 2 demonstrates the potential of large language models (LLMs) through its refined abilities and precisely tuned performance. Diving deeper into Llama 2’s architecture, Meta reveals that the model’s fine-tuning melds supervised fine-tuning (SFT) with reinforcement learning aided by human feedback (RLHF). CPU times: user 4.24

LLM 90

LLM Large Language Models Chatbots Generative AI 90

Unite.AI

MARCH 13, 2024

Background and Significance of DSLMs The origins of DSLMs can be traced back to the limitations of general-purpose language models when applied to domain-specific tasks. Here are some notable examples: Legal Domain Law LLM Assistant SaulLM-7B Equall.ai However, the team at Equall.ai

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Large Language Models Natural Language Processing LLM Data Scarcity 204