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Redefining Conversational AI with Large Language Models

Topbots

Source: rawpixel.com Conversational AI is an application of LLMs that has triggered a lot of buzz and attention due to its scalability across many industries and use cases. While conversational systems have existed for decades, LLMs have brought the quality push that was needed for their large-scale adoption.

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ChatGPT, Bard, and other AI showcases: how Conversational AI platforms have adopted new…

Chatbots Life

ChatGPT, Bard, and other AI showcases: how Conversational AI platforms have adopted new technologies. On November 30, 2022, OpenAI , a San Francisco-based AI research and deployment firm, introduced ChatGPT as a research preview. How GPT-3 technology can help Conversational AI platforms?

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Advancing AI’s Cognitive Horizons: 8 Significant Research Papers on LLM Reasoning

Topbots

This paper, first published in December 2022, may not cover the most recent developments in LLM reasoning but still offers a comprehensive survey of available approaches. They also explore the potential future directions in the field, aiming to bridge the gap between LLM capabilities and human-like reasoning. Reasoning process.

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IBM AI Research Introduces API-BLEND: A Large Corpora for Training and Systematic Testing of Tool-Augmented LLMs

Marktechpost

API-BLEND is a hybrid dataset enriched by human-annotated data and LLM-assisted generation, covering over 178,000 instances across training, development, and testing phases. Don’t Forget to join our Telegram Channel You may also like our FREE AI Courses…. If you like our work, you will love our newsletter.

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Beyond Metrics: A Hybrid Approach to LLM Performance Evaluation

Topbots

Large Language Models (LLMs) present a unique challenge when it comes to performance evaluation. Unlike traditional machine learning where outcomes are often binary, LLM outputs dwell in a spectrum of correctness. auto-evaluation) and using human-LLM hybrid approaches. Consider harnessing LLMs for building an evaluation set.

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How RLHF Preference Model Tuning Works (And How Things May Go Wrong)

AssemblyAI

The exploding popularity of conversational AI tools has also raised serious concerns about AI safety. Much of current AI research aims to design LLMs that seek helpful, truthful, and harmless behavior. But how do we interpret the effect of RLHF fine-tuning over the original base LLM?

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Meta AI Announces Purple Llama to Assist the Community in Building Ethically with Open and Generative AI Models

Marktechpost

Thanks to the success in increasing the data, model size, and computational capacity for auto-regressive language modeling, conversational AI agents have witnessed a remarkable leap in capability in the last few years. In comparison to the more powerful LLMs, this severely restricts their potential.