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How foundation models and data stores unlock the business potential of generative AI

IBM Journey to AI blog

Together with data stores, foundation models make it possible to create and customize generative AI tools for organizations across industries that are looking to optimize customer care, marketing, HR (including talent acquisition) , and IT functions. An open-source model, Google created BERT in 2018.

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Beyond ChatGPT; AI Agent: A New World of Workers

Unite.AI

Systems like ChatGPT by OpenAI, BERT, and T5 have enabled breakthroughs in human-AI communication. It shines in complex domains, such as cryptocurrency trading, robotics, and autonomous driving, making it a versatile tool in a plethora of applications.

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The Legal Frontier: Exploring AI’s Influence on Legal Research

Becoming Human

The integration of AI for legal research raises questions about the future direction of the legal profession and prompts a reevaluation of its core practices. Incorporating AI in legal research marks a significant departure from traditional approaches. Let’s delve into the applications of AI for legal research automation.

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Meet FineFineWeb: An Open-Sourced Automatic Classification System for Fine-Grained Web Data

Marktechpost

Complete training materials for FastText and Bert implementation accompany the dataset, with upcoming suggestions for data proportioning based on RegMix methodology. URL labeling utilizes GPT-4 to process the top million root URLs, categorizing them into Domain-of-Interest (DoI) and Domain-of-Non-Interest (DoNI) URLs.

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Shaping the Future of AI: A Comprehensive Survey on Vision-Language Pre-Training Models and their Role in Uni-Modal and Multi-Modal Tasks

Marktechpost

Pretraining models in a uni-modal fashion, starting with BERT in NLP, have shown remarkable effectiveness by fine-tuning with limited labeled data for downstream tasks. The paper explores more about the pretraining of VLP models, categorizing them into completion, matching, and particular types.

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Large Language Models – Technical Overview

Viso.ai

Categorization of LLMs – Source One of the most common examples of an LLM is a virtual voice assistant such as Siri or Alexa. The models, such as BERT and GPT-3 (improved version of GPT-1 and GPT-2), made NLP tasks better and polished. GPT-4, BERT) based on your specific task requirements.

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How AI saves money and improves banking complaint handling

Snorkel AI

AI is accelerating complaint resolution for banks AI can help banks automate many of the tasks involved in complaint handling, such as: Identifying, categorizing, and prioritizing complaints. Bank agents may also struggle to track the status of complaints and ensure that they are resolved in a timely manner.