Remove Artificial Intelligence Remove Auto-complete Remove Conversational AI Remove Large Language Models
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The Rise of AI Software Engineers: SWE-Agent, Devin AI and the Future of Coding

Unite.AI

The field of artificial intelligence (AI) continues to push the boundaries of what was once thought impossible. From self-driving cars to language models that can engage in human-like conversations, AI is rapidly transforming various industries, and software development is no exception.

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List of Groundbreaking and Open-Source Conversational AI Models in the Language Domain

Marktechpost

Conversational AI refers to technology like a virtual agent or a chatbot that use large amounts of data and natural language processing to mimic human interactions and recognize speech and text. In recent years, the landscape of conversational AI has evolved drastically, especially with the launch of ChatGPT.

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Llama 2: A Deep Dive into the Open-Source Challenger to ChatGPT

Unite.AI

Large Language Models (LLMs) capable of complex reasoning tasks have shown promise in specialized domains like programming and creative writing. Developed by Meta with its partnership with Microsoft, this open-source large language model aims to redefine the realms of generative AI and natural language understanding.

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ODSC’s AI Weekly Recap: Week of March 1st

ODSC - Open Data Science

Open Data Science Blog Recap Paris-based Mistral AI is emerging as a formidable challenger to industry giants like OpenAI and Anthropic. Open Data Science Blog Recap Paris-based Mistral AI is emerging as a formidable challenger to industry giants like OpenAI and Anthropic. In a shift toward AI, Apple shutters its electric car program.

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AI code-generation software: What it is and how it works

IBM Journey to AI blog

Using generative artificial intelligence (AI) solutions to produce computer code helps streamline the software development process and makes it easier for developers of all skill levels to write code. It can also modernize legacy code and translate code from one programming language to another.

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Future of Data-Centric AI day 1: LLMs changed the world

Snorkel AI

Across thirteen sessions, the speakers commented on the current and future state of artificial intelligence and machine learning. They focussed largely on the challenges and opportunities in leveraging large language models and foundation models , as well as data-centric AI development approaches.

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Future of Data-Centric AI day 1: LLMs changed the world

Snorkel AI

Across thirteen sessions, the speakers on the current and future state of artificial intelligence and machine learning. They focussed largely on the challenges and opportunities in leveraging large language models and foundation models , as well as data-centric AI development approaches.