Google has released its latest multi-modal AI model called Gemma 4, designed to handle a variety of tasks involving reasoning, tool use, vision, and audio. What makes Gemma 4 stand out is its availability in different sizes, from small models suitable for personal hardware to larger ones for servers. Even at the higher end, the
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All posts tagged in Transformer Models
Many people think of large language models (LLMs) as advanced question-answering machines or magic writing tools. But understanding what’s really happening inside these systems can change how you use them—and help you avoid common mistakes. A story from last year highlights this: a client struggled for months trying to get an LLM to reliably extract
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When people talk about AI language models, they often assume all these models are pretty much the same. They might have different names or logos, but under the hood, they’re considered similar. That’s a mistake. The way a model is built impacts what it can do well, where it might stumble, and how it performs
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Inception has unveiled Mercury 2, claiming it to be the fastest reasoning large language model (LLM) currently available. Designed for real-world AI applications, Mercury 2 breaks away from traditional sequential decoding methods by using a parallel refinement process. This approach aims to significantly reduce the time it takes for the model to generate responses, making
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Google has introduced a new AI agent feature in its Opal mini-app builder, making it easier for developers to create smarter, more autonomous apps. Powered by the latest Gemini 3 Flash model, this addition allows Opal workflows to plan, reason, and act independently on behalf of users. The update, announced on February 24, is now
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Speed and cost are big hurdles for companies using large language models (LLMs). These models often generate thousands of tokens per query, but current hardware struggles to keep up. Now, researchers have found a way to make these models faster by modifying how they predict tokens, without needing extra draft models or complex decoding methods.
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Google has announced its latest AI model, Gemini 3.1 Pro, claiming it is better at reasoning, coding, and research. While the company emphasizes its improvements, many see this as a move to compete with other big players like OpenAI. The new model aims to handle complex, multi-step tasks more effectively than previous versions. What Makes
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RingCentral is teaming up with OpenAI to push the boundaries of voice AI in business communication. They are integrating advanced AI models, including GPT-5.2, into RingCentral’s trusted platform. The goal is to make voice interactions smarter, more natural, and more efficient for companies and their customers. This move aims to help organizations work faster, serve
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Google has introduced a new AI model called Gemini 3.1 Pro, which aims to tackle the most complex problems with smarter reasoning. This update marks a significant step forward in core AI capabilities, focusing on deep understanding and advanced decision-making. It is designed to go beyond simple answers and handle tasks that require intricate analysis
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Anthropic has rolled out an upgraded version of its AI model called Claude Sonnet 4.6. This update focuses on making the AI better at coding, following instructions, and handling complex reasoning tasks. Launched on February 17, the new version is a significant step forward in AI performance for a range of technical and knowledge-based tasks.
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