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AWS Brings Meta’s Llama 3 Models on Amazon Bedrock

Apart from Llama 3, Amazon Bedrock now includes new features for its customers explpring generative AI.

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How Good is Llama 3 for Indic Languages?

Illustration by Nikhil Kumar

AWS has announced the general availability of Meta’s recently released new generation of LLM, Llama 3, in Amazon Bedrock. The 7B model outperforms Gemma and Mistral on all benchmarks, and the 70B model outperforms Gemini Pro 1.5 and Claude 3 Sonnet.

The Llama 3 models are tailored for diverse AI applications and are presented in two main configurations: the Llama 3 8B and Llama 3 70B. These variants are specially designed for tasks ranging from text summarisation to complex language translation. Meta is also developing even more powerful models, potentially exceeding 400 billion parameters, that will support features like multimodal inputs and multilingual capabilities, greatly expanding the use cases of these models.

Expanded Capabilities of Amazon Bedrock

Additionally, Amazon Bedrock is now equipped with new features for customers exploring generative AI.

  • Custom Model Import: This new functionality allows users to integrate their unique models into the Bedrock environment. This integration supports a wide range of AI applications by simplifying the development process and reducing operational overhead.
  • Model Evaluation: This tool is now generally available and accelerates the model selection process. It enables organisations to assess and compare the effectiveness of different models on Amazon Bedrock, thus optimising their AI strategies based on performance, accuracy, and suitability for specific tasks.
  • Guardrails: Designed to be responsible for the deployment of AI applications, this feature helps users implement essential safety measures. It effectively filters out undesirable content, aligning with organisational policies and ethical AI practices.

Amazon Bedrock is leveraged by various enterprises for its scalability and versatility. For example, airline Ryanair enhances crew operations by using Bedrock to access vital regulatory information and procedural guidelines quickly. In the healthcare sector, Netsmart is making significant strides in improving the efficiency of clinical documentation, which facilitates better patient care and faster service delivery. On the other hand, New York Stock Exchange (NYSE): The NYSE employs Bedrock to decode and simplify vast amounts of regulatory documentation, making critical information more accessible and understandable for stakeholders.

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Shritama Saha

Shritama (she/her) is a technology journalist at AIM who is passionate to explore generative AI with a special focus on big techs, database, healthcare, DE&I, hiring in tech and more.
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