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GitHub's partnership with Google Cloud brings Gemini 1.5 Pro to GitHub Copilot, revolutionizing development with AI that processes two million tokens. This natively multimodal tool excels at code generation, analysis, and optimization, empowering ...

Elon Musk's xAI has launched a public beta for its API service, enabling developers to integrate xAI's large language models (LLMs) into their applications.

OpenAI recently released ChatGPT Search which allows ChatGPT to search the web when answering user questions. Instead of being limited to knowledge available at the time of training, ChatGPT can now incorporate current information from the web and .. ...

Tejas Kumar overviews web engineering in relation to AI, AI engineering, Intelligent Answering Engines, an update on CSS, HTML, JavaScript, and personal health and productivity.

With MobileLLM, Meta researchers aim to show that, for smaller models, quality is not a direct product of how many billions parameters they have; rather, it is the result of carefully designing their architecture. To prove their point, they coupled . ...

In this podcast, Namee Oberst, co-founder of AI Bloks, the company behind AI framework LLMWare, discusses the recent trend in Generative AI and Language Model technologies, the Small Language Models (SLMs) and how these smaller models are empowering ...

Researchers from Meta FAIR, the University of California, Berkeley, and New York University have introduced Thought Preference Optimization (TPO), a new method aimed at improving the response quality of instruction-fine tuned LLMs.

Georg Dresler discusses various methods to perform prompt injection to extract system prompts and documents used by GPTs, and ways to integrate countermeasures to protect against stealing information.

The PostgreSQL Global Development Group recently announced the general availability of PostgreSQL 17, the latest version of the popular open-source database. This release focuses on performance improvements, including a new memory management ...

Rich Smith provides a case study of a real world LLM based app that is vulnerable to a variety of attack vectors that illustrate the challenges to account for when integrating today's LLM technologies.