LLM ML Software Development 
AWS Machine Learning Blog
NOVEMBER 19, 2024
This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of sessions showcasing insights from AWS experts, customer stories, and hands-on experiences with AWS services. Visit the session catalog to learn about all our generative AI and ML sessions.
AWS Machine Learning Blog
FEBRUARY 21, 2025
Similar to how a customer service team maintains a bank of carefully crafted answers to frequently asked questions (FAQs), our solution first checks if a users question matches curated and verified responses before letting the LLM generate a new answer. No LLM invocation needed, response in less than 1 second.
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Unite.AI
APRIL 25, 2024
Recent innovations include the integration and deployment of Large Language Models (LLMs), which have revolutionized various industries by unlocking new possibilities. More recently, LLM-based intelligent agents have shown remarkable capabilities, achieving human-like performance on a broad range of tasks. Let's dive in.
AWS Machine Learning Blog
MARCH 25, 2025
In this post, we demonstrate how to enhance enterprise productivity for your large language model (LLM) solution by using the Amazon Q index for ISVs. ISV becoming a data accessor for Amazon Q Business A data accessor is an ISV who has registered with AWS and is authorized to use their customers Amazon Q index for their LLM solution.
Marktechpost
JULY 11, 2024
Recently, advancements in large language models (LLMs) have revolutionized these processes, enabling more sophisticated automation of software development tasks. A significant challenge has emerged in the context of automating software engineering tasks. Check out the Paper.
Marktechpost
SEPTEMBER 9, 2023
The idea of emerging abilities is intriguing because it suggests that with further development of language models, even more complex abilities might arise. However, integrating LLMs into software development is more complex. AskIt can do a wide array of tasks and is a domain-specific language designed for LLMs.
AWS Machine Learning Blog
MARCH 5, 2025
However, traditional machine learning approaches often require extensive data-specific tuning and model customization, resulting in lengthy and resource-heavy development. Enter Chronos , a cutting-edge family of time series models that uses the power of large language model ( LLM ) architectures to break through these hurdles.
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