OpenAI

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Meta Releases Llama Prompt Ops: A Python Package that Automatically Optimizes Prompts for Llama Models
OpenAI

Meta Releases Llama Prompt Ops: A Python Package that Automatically Optimizes Prompts for Llama Models

The growing adoption of open-source large language models such as Llama has introduced new integration challenges for teams previously relying on proprietary systems...

This AI Paper Introduces LLaDA-V: A Purely Diffusion-Based Multimodal Large Language Model for Visual Instruction Tuning and Multimodal Reasoning
OpenAI

This AI Paper Introduces LLaDA-V: A Purely Diffusion-Based Multimodal Large Language Model for Visual Instruction Tuning and Multimodal Reasoning

Multimodal large language models (MLLMs) are designed to process and generate content across various modalities, including text, images, audio, and video. These models...

A Coding Guide Implementing ScrapeGraph and Gemini AI for an Automated, Scalable, Insight-Driven Competitive Intelligence and Market Analysis Workflow
OpenAI

A Coding Guide Implementing ScrapeGraph and Gemini AI for an Automated, Scalable, Insight-Driven Competitive Intelligence and Market Analysis Workflow

In this tutorial, we demonstrate how to leverage ScrapeGraph’s powerful scraping tools in combination with Gemini AI to automate the collection, parsing, and...

MiMo-VL-7B: A Powerful Vision-Language Model to Enhance General Visual Understanding and Multimodal Reasoning
OpenAI

MiMo-VL-7B: A Powerful Vision-Language Model to Enhance General Visual Understanding and Multimodal Reasoning

Vision-language models (VLMs) have become foundational components for multimodal AI systems, enabling autonomous agents to understand visual environments, reason over multimodal content, and...

Meet Yambda: The World’s Largest Event Dataset to Accelerate Recommender Systems
OpenAI

Meet Yambda: The World’s Largest Event Dataset to Accelerate Recommender Systems

Yandex has recently made a significant contribution to the recommender systems community by releasing Yambda, the world’s largest publicly available dataset for recommender...

Off-Policy Reinforcement Learning RL with KL Divergence Yields Superior Reasoning in Large Language Models
OpenAI

Off-Policy Reinforcement Learning RL with KL Divergence Yields Superior Reasoning in Large Language Models

Policy gradient methods have significantly advanced the reasoning capabilities of LLMs, particularly through RL. A key tool in stabilizing these methods is Kullback-Leibler...

NVIDIA AI Introduces Fast-dLLM: A Training-Free Framework That Brings KV Caching and Parallel Decoding to Diffusion LLMs
OpenAI

NVIDIA AI Introduces Fast-dLLM: A Training-Free Framework That Brings KV Caching and Parallel Decoding to Diffusion LLMs

Diffusion-based large language models (LLMs) are being explored as a promising alternative to traditional autoregressive models, offering the potential for simultaneous multi-token generation....

A Coding Implementation of an Intelligent AI Assistant with Jina Search, LangChain, and Gemini for Real-Time Information Retrieval
OpenAI

A Coding Implementation of an Intelligent AI Assistant with Jina Search, LangChain, and Gemini for Real-Time Information Retrieval

In this tutorial, we demonstrate how to build an intelligent AI assistant by integrating LangChain, Gemini 2.0 Flash, and Jina Search tools. By...