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Meta's open-source large language model, Llama-4-Maverick, has experienced a dramatic drop in LMArena rankings, plummeting from second place to 32nd. This significant shift has sparked widespread skepticism among developers, who suspect Meta may have manipulated the benchmark by submitting a specially optimized version. The issue stems from Meta's April 6th release of its latest large language model, Llama 4, encompassing three versions: Scout, Maverick, and Behemoth.

Recently, the AI code generation field has seen a surge in open-source releases, with several heavyweight models making their debut. Among them, the Cogito v1 Preview series from Deep Cogito stands out. According to AIbase, this new family of open-source models includes various sizes: 3B, 8B, 14B, 32B, and 70B parameters. Not only does it outperform competitors in its class, but its 70B version even surpasses Meta's recently released Llama 4 109B MoE model, sparking considerable industry discussion.

Google Cloud Platform recently announced that Meta's latest generation of open-source large language models, Llama 4, is now available in its Vertex AI Model Garden. The news has generated significant excitement in the global tech community. The Scout and Maverick models from the Llama 4 series are now integrated into Vertex AI and available to developers via fully managed Model-as-a-Service (MaaS) API endpoints in preview.

NVIDIA, a global leader in chip and AI technology, recently launched a groundbreaking new open-source large language model, Llama 3.1 Nemotron Ultra 253B, generating significant excitement within the AI community. Built upon Meta's Llama-3.1-405B, this model boasts innovative optimizations that surpass competitors like Llama 4 Behemoth and Maverick in performance, while demonstrating superior resource efficiency and exceptional multi-tasking capabilities.

On April 8th, 2025, NVIDIA launched Llama 3.1 Nemotron Ultra 253B, an open-source model optimized from Llama-3.1-405B. With 25.3 billion parameters, it surpasses Meta's Llama 4 Behemoth and Maverick, becoming a focal point in the AI field. This model demonstrates superior performance in benchmarks such as GPQA-Diamond, AIME 2024/25, and LiveCodeBench, achieving inference throughput comparable to DeepSeek.

Meta has released its latest open-source AI model, Llama 4, marking another significant advancement in the field of artificial intelligence. Llama 4 comes in two versions, Scout and Maverick, designed to enhance AI model capabilities and performance. Meta states that Llama 4 is a multimodal large language model capable of processing various data types, including text, images, video, and audio, and can freely convert between these formats. Notably, the Llama 4 series is the first...

Meta released its new flagship AI model, Maverick, on Saturday. The model ranked second in the LM Arena benchmark. LM Arena is a testing platform that relies on human raters to compare different model outputs and select their preferences. However, several AI researchers quickly discovered that the version of Maverick deployed to LM Arena appears significantly different from the version widely used by developers. Meta acknowledged in its announcement that the Maverick on LM Arena is an experimental version.

Meta, the American tech giant, has released Llama 4, its most powerful open-source AI model. The initial release includes two models: Llama4Scout and Llama4Maverick. Llama4Scout boasts 109 billion parameters, 17 billion active parameters, and 16 experts. Its key feature is support for a 10 million context window, enabling processing of over 20 hours of video, all while running on a single H100 GPU (after Int4 quantization).

OpenAI CEO Sam Altman announced on social media today that the company will release an open-source artificial intelligence model in the coming months. This news has generated significant attention, especially after the breakthrough success of the R1 model by Chinese company DeepSeek, putting pressure on OpenAI and highlighting competition from Meta's Llama series of models. Altman stated that OpenAI has long considered launching an open-source model.

Researchers at the Hebrew University of Jerusalem recently discovered that in Retrieval Augmented Generation (RAG) systems, the number of documents processed significantly impacts language model performance, even when the total text length remains constant. The research team conducted experiments using 2,417 questions from the MuSiQue validation dataset, each linked to 20 Wikipedia paragraphs. Two to four paragraphs contained relevant answer information, with the remaining paragraphs serving as distractors. To study the impact of the number of documents, the team created multiple data partitions, progressively reducing the number of documents from 20 to...

YuE, an open-source AI music generation model based on Suno, is capable of producing high-quality vocals and instrumental accompaniments.

Data intelligence company Databricks recently unveiled a novel large language model fine-tuning method – TAO (Test-time Adaptive Optimization). This technology offers new hope for the advancement of open-source models. By leveraging unlabeled data and reinforcement learning, TAO excels in reducing enterprise costs while achieving remarkable results across various benchmark tests. According to tech news outlet NeoWin, TAO...

After a nearly year-long pause, Meta has announced the return of its AI chatbot, Meta AI, to the European market. Starting this week, Meta AI will be rolled out across WhatsApp, Facebook, Instagram, and Messenger in 41 European countries and 21 other regions, but initially only with text-based chat functionality. Meta AI initially launched in the US in 2023. Although Meta had planned to bring the assistant to Europe, it was delayed due to concerns in Ireland.

Meta has recently announced that it will hold the first LlamaCon developer conference on April 29, focusing on the latest advancements in its Llama series of generative AI models. The event aims to provide developers with a platform to share the latest achievements in open-source AI, helping them to better build applications and products. As generative AI technology rapidly evolves, Meta hopes to further promote the development of its ecosystem through this conference. At the upcoming event, Meta plans to showcase several.