Remove Conversational AI Remove Data Quality Remove NLP Remove Prompt Engineering
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Llama 2: A Deep Dive into the Open-Source Challenger to ChatGPT

Unite.AI

The Llama 2-Chat used a binary comparison protocol to collect human preference data, marking a notable trend towards more qualitative approaches. This mechanism informed the Reward Models, which are then used to fine-tune the conversational AI model. Data quality and diversity are just as pivotal as volume in these scenarios.

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Four LLM Trends Since ChatGPT And Their Implications For AI Builders

Topbots

In October 2022, I published an article on LLM selection for specific NLP use cases , such as conversation, translation and summarisation. Since then, AI has made a huge step forward, and in this article, we will review some of the trends of the past months as well as their implications for AI builders.

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Building AI Products With A Holistic Mental Model

Topbots

The different components of your AI system will interact with each other in intimate ways. For example, if you are working on a virtual assistant, your UX designers will have to understand prompt engineering to create a natural user flow. Don’t rush AI implementations driven by hype and without market-side validation.

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