IBM Corp. on Thursday open-sourced Granite 4, a language model series that combines elements of two different neural network architectures. The algorithm family includes four models on launch. They ...

Built for long-context tasks and edge deployments, Granite 4.0 combines Mamba’s linear scaling with transformer precision, offering enterprises lower memory usage, faster inference, and ISO ...

IBM has recently released the Granite 3.2 series of open-source AI models, enhancing inference capabilities and introducing its first vision-language model (VLM) while continuing advancements in ...

AI is evolving quickly, and new types of models keep showing up, which makes it hard to predict what’s next. However, David Cox, who leads AI model research at tech giant IBM (IBM), sees a promising ...

The latest trends in software development from the Computer Weekly Application Developer Network. This is a guest post for the Computer Weekly Developer Network written by Dr Juan Bernabe-Moreno in ...

IBM is zooming along with new open-source Granite Large Language Models (LLM) releases every few months. Granite 3.1 is the latest generation model, building upon the success of Granite 3.0. The model ...

Forbes contributors publish independent expert analyses and insights. Victor Dey is an analyst and writer covering AI and emerging tech. As OpenAI, Google, and other tech giants chase ever-larger ...

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India has nearly 1.4 billion people and is one of the most linguistically diverse countries in the world, with more than 1,500 languages and dialects spoken across different regions. For AI systems ...

Small language models, known as SLMs, create intriguing possibilities for higher education leaders looking to take advantage of artificial intelligence and machine learning. SLMs are miniaturized ...

Small language models shine for domain-specific or specialized use cases, while making it easier for enterprises to balance performance, cost, and security concerns. Since ChatGPT arrived in late 2022 ...

Small Language Models (SLM) are trained on focused datasets, making them very efficient at tasks like analyzing customer feedback, generating product descriptions, or handling specialized industry ...