As the demand for large language models (LLMs) continues to rise, ensuring fast, efficient, and scalable inference has become more crucial than ever....
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Language models has witnessed rapid advancements, with Transformer-based architectures leading the charge in natural language processing. However, as models scale, the challenges of handling long contexts, memory efficiency, and throughput have become more pronounced. AI21 Labs has introduced a new solution with Jamba, a state-of-the-art large language model (LLM) that combines the strengths of both […] The post Jamba: AI21 Labs’ New Hybrid Transformer-Mamba Language Model appeared first on Unite.AI.
As the demand for large language models (LLMs) continues to rise, ensuring fast, efficient, and scalable inference has become more crucial than ever....
Over the past decade, Artificial Intelligence (AI) has made significant advancements, leading to transformative changes across various industries,...
Over the past decade, Artificial Intelligence (AI) has made significant advancements, leading to transformative changes across various industries,...
Reflection 70B is an open-source large language model (LLM) developed by HyperWrite. This new model introduces an approach to AI cognition that could...
Anthropic has just announced its new Claude Enterprise Plan, marking a significant development in the large language model (LLM) space and offering...
As developers and dta scientists, we often find ourselves needing to interact with these powerful models through APIs. However, as our applications...
IBM has revealed architecture details for the upcoming IBM Telum II Processor and IBM Spyre Accelerator – new technologies designed to...
IBM has revealed architecture details for the upcoming IBM Telum II Processor and IBM Spyre Accelerator – new technologies designed to...
The remarkable success of large-scale pretraining followed by task-specific fine-tuning for language modeling has established this approach as a...
The remarkable success of large-scale pretraining followed by task-specific fine-tuning for language modeling has established this approach as a...