In the digital era where documents are generated and distributed to hanged speeds, it is crucial to understand them automatically. Consider the tasks by extracting payment information from invoices or digitizing historical items where layouts and handwritten notes play an important role in understanding context. These scenarios emphasize the complexity of document understanding, which not … Read more
One of the major attractions of large language models (LLMS) is that they encoding information about the real world. But the world is constantly changing, and an LLMS information is only as frown the data it was trained on. Training an LLM can take months even when the task is parallelized across 1,000 servers, so … Read more
The expanding use of generative-IA applications has accomplished the request for accurate, cost-effective large language models (LLMs). LLMS ‘costs vary significantly based on their size, typically measured by the number of parameters: Change to the next smaller size often results in a cost saving of 70% -90%. However, it is not always a viable opportunity … Read more
Yesterday at the Amazon Web Services’ annual RE: Invent Conference, Amazon CEO Andy Jassy Amazon Nova, a new generation of advanced foundation models providing Frontier Intelligence and Industry-Founding Award performance. The Amazon NOVA models include understanding models of three different sizes for different latency, costs and accuracy needs. We also announced two new generation of … Read more