New embedding models and API updates
We are launching a new generation of embedding models, new GPT-4 Turbo and moderation models, new API usage management tools, and soon, lower pricing on GPT-3.5 Turbo.
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AI News Weekly – Issue #443: Sundar Pichai dismisses AI job fears – Jun 6th 2025
ByWeb Dev
Powered by columbia.edu Welcome Interested in sponsorship opportunities? Join the AI conversation and transform your advertising strategy with AI weekly sponsorship aiweekly.co In the News Sundar Pichai dismisses AI job fears, emphasizes expansion plans In a Bloomberg interview Wednesday night in downtown San Francisco, Alphabet CEO Sundar Pichai pushed back against concerns that AI could…
This AI Research Introduces Fast and Expressive LLM Inference with RadixAttention and SGLang
Advanced prompting mechanisms, control flow, contact with external environments, many chained generation calls, and complex activities are expanding the utilization of Large Language Models (LLMs). On the other hand, effective methods for developing and running such programs are severely lacking. LMSYS ORG presents SGLang, a Structured Generation Language for LLMs that collaborates on the architecture…
AI News Weekly – Issue #405: The Best AI Image Generators of 2024 – Sep 26th 2024
Powered by … Artificial Intelligence Weekly Welcome Interested in sponsorship opportunities? Join the AI conversation and transform your advertising strategy with AI weekly sponsorship aiweekly.co In the News The Best AI Image Generators of 2024 AI chatbots, like ChatGPT, have taken the world by storm because they can generate nearly any kind of text, including…
Meet einx: A Python Library that Allows Formulating Many Tensor Operations as Concise Expressions Using Einstein Notation
Meet einx, a novel Python library developed in the tensor operations landscape, offers a streamlined approach to formulating complex tensor operations using Einstein notation. Inspired by einops, einx distinguishes itself through a fully composable and powerful design, incorporating []-notation for expressive tensor expressions. Developed by researchers, this library is a versatile tool for efficient tensor…
Anthropic AI Experiment Reveals Trained LLMs Harbor Malicious Intent, Defying Safety Measures
ByWeb Dev
The rapid advancements in the field of Artificial Intelligence (AI) have led to the introduction of Large Language Models (LLMs). These highly capable models can generate human-like text and can perform tasks including question answering, text summarization, language translation, and code completion. AI systems, particularly LLMs, can behave dishonestly strategically, much like how people can…
This AI Paper from UNC-Chapel Hill Proposes ReGAL: A Gradient-Free Method for Learning a Library of Reusable Functions via Code Refactorization
Optimizing code through abstraction in software development is not just a practice but a necessity. It leads to streamlined processes, where reusable components simplify tasks, increase code readability, and foster reuse. The development of generalizable abstractions, especially in automated program synthesis, stands at the forefront of current research endeavors. Traditionally, Large Language Models (LLMs) have…
