IBM has officially launched its next-generation open-source large language model, Granite3.1, aiming to secure a leading position in the enterprise AI sector. This series of models features an extended context length of 128K, embedding models, built-in hallucination detection capabilities, and significant performance improvements. IBM claims that the Granite8B Instruct model outperforms its open-source competitors of similar scale, including Meta's Llama3.1, Qwen2.5, and Google's Gemma2.

In the age of AI, large language models (LLMs) are akin to martial arts secrets; their training processes consume massive computing power and data, much like martial arts experts who have spent years in secluded training. The release of open-source models is like these experts sharing their secrets with the public, but they come with certain licenses (such as Apache 2.0 and LLaMA 2 Community License) to protect their intellectual property (IP). However, the world can be treacherous, and incidents of 'shelling' are bound to occur. Some developers claim they have trained new LLMs when, in fact, they are using other foundational models (like Lla

Meta recently announced the launch of the latest member of its Llama series - Llama3.370B. Meta's VP of Generative AI, Ahmad Al-Dahle, announced this on the X platform, noting that Llama3.370B has achieved significant improvements in performance compared to Meta's previous largest Llama model, Llama3.1405B, while significantly reducing costs. Al-Dahle stated that by leveraging the latest technology after training, Llama3.370B...

Non-profit AI research organization Ai2 recently launched its new OLMo2 series, the second generation of its 'Open Language Model' (OLMo) series. The release of OLMo2 not only provides strong technical support for the AI community but also represents the latest development in open source AI with its completely open-source code. Unlike other 'open' language models currently on the market, such as Meta's Llama series, OLMo2 meets the strict definition of the open-source initiative, which means that the materials used for its development...

Recently, AI large language models (LLMs) have been performing remarkably well in various tasks, effortlessly writing poetry, coding, and chatting; they seem to be capable of anything! But can you believe it? These 'genius' AIs are actually 'math novices'! They often fail dramatically when tackling simple arithmetic problems, leaving people astonished. A recent study unveiled the 'quirky' secret behind LLMs' arithmetic reasoning abilities: they rely neither on powerful algorithms nor solely on memory, but instead adopt a strategy known as 'heuristic hodgepodge'!

Recently, research teams from Peking University announced the release of an open-source multimodal model called LLaVA-o1, which is claimed to be the first visual language model capable of spontaneous and systematic reasoning, comparable to GPT-o1. The model excels in six challenging multimodal benchmark tests, with its 11B parameter version outperforming competitors such as Gemini-1.5-pro, GPT-4o-mini, and Llama-3.2-90B-Vision-Instruct.

Kunlun Wanwei Technology Co., Ltd. announced that its latest developed TianGong Large Model 4.0 O1 version (English name: Skywork O1) will launch invitation testing on November 27, 2024. The TianGong Large Model 4.0 O1 version is the first domestic O1 model with Chinese logical reasoning capabilities. It not only incorporates abilities such as thinking, planning, and reflection in its model output but also shows a significant improvement in reasoning capabilities compared to the baseline model in standard evaluation sets, achieving an essential enhancement in the model's reasoning abilities.

Recently, Oute AI released a novel text-to-speech synthesis method called OuteTTS-0.1-350M. This method utilizes pure language modeling without the need for external adapters or complex architectures, offering a simplified TTS approach. OuteTTS-0.1-350M is based on the LLaMa architecture, using WavTokenizer to directly generate audio tokens, making the process more efficient. The model features zero-shot voice cloning capability, requiring only a few seconds of reference audio.

Meta recently announced that its Llama series of artificial intelligence models will be made available to U.S. government agencies and related contractors to support national security applications. This move aims to dispel concerns that its 'open' AI could aid foreign adversaries. In a blog post, Meta stated, 'We are pleased to confirm that Llama will be accessible to U.S. government agencies, including those focusing on defense and national security projects, as well as private sector partners supporting this work.'

Recently, Meta's Chief AI Scientist Yann LeCun stated that Autonomous Machine Intelligence (AMI) can genuinely assist people in their daily lives. Meta is working to enhance the reasoning capabilities of its Llama model, aiming to rival top models like GPT-4o. Meta's Vice President Manohar Paluri mentioned that they are exploring ways to enable the Llama model not only to 'plan' but also to assess decisions in real-time and adjust as conditions change.

Recently, Meta has released a new tool called NotebookLlama, which serves as the open-source version of the popular podcast generation feature found in Google's NotebookLM. NotebookLlama relies on Meta's own Llama model to process text and can transform user-uploaded files into interactive podcast-style summaries, which sounds very cool. Specifically, NotebookLlama first converts the uploaded files, such as P