IBM Journey to AI blog

APRIL 26, 2024

However, there are smaller models that have the potential to innovate gen AI capabilities on mobile devices. Let’s examine these solutions from the perspective of a hybrid AI model. The basics of LLMs LLMs are a special class of AI models powering this new paradigm. Is hybrid AI the answer?

Hybrid AI 246

Hybrid AI Large Language Models LLM AI 246

Unite.AI

JANUARY 23, 2024

Large language models (LLMs) have exploded in popularity over the last few years, revolutionizing natural language processing and AI. From chatbots to search engines to creative writing aids, LLMs are powering cutting-edge applications across industries. Retrieval augments LLMs by allowing huge external context.

Large Language Models 100

Large Language Models Prompt Engineer Prompt Engineering LLM 100

O'Reilly Media

NOVEMBER 19, 2024

Also, in place of expensive retraining or fine-tuning for an LLM, this approach allows for quick data updates at low cost. at Google, and “ Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks ” by Patrick Lewis, et al., Convert an incoming prompt to a graph query, then use the result set to select chunks for the LLM.

LLM 102

LLM Hybrid AI NLP Large Language Models 102

deepsense.ai

NOVEMBER 14, 2023

Even though the team we established consisted of elite LLM experts, the task proved very challenging. Within Natural Language Processing (NLP), ‘pseudo-evaluation’ approaches that we call ‘Superficial Utility Comparison Kriterion’ ( SUCK ) methods, like BLEU [32], METEOR [33], ROUGE [34], or BLEURT [35], attempt to salvage the situation. -Z.,

Generative AI 111

Generative AI ML Prompt Engineering Prompt Engineer 111