Here’s the translation into American English:
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Large language models (LLMs) are notably transforming the field of artificial intelligence, although they still have limitations due to their static training data. To meet the growing demand for more adaptive AI systems, the integration of external tools and APIs has become crucial. This trend has led to the creation of autonomous workflows where AI systems plan, execute, and refine tasks without human intervention, thereby improving operational effectiveness and decision-making accuracy.
Recently, Amazon introduced its new Nova models during the AWS re:Invent event in December 2024. Designed to deliver high performance at a reduced cost, these models come in variants such as Micro, Lite, and Pro, each focusing on different needs. One of the standout features of Amazon Nova is its ability to connect with external tools and services through what are known as “tool calls.” This functionality expands the capabilities of LLMs by allowing them to access real-time data and perform domain-specific calculations.
The implementation of these models is carried out through the Amazon Bedrock console and APIs like Converse and Invoke. This makes it easier for developers to optimize the models with textual and multimodal data, thereby enhancing accuracy and efficiency in tool usage. Effective use of these tools requires selecting the most appropriate one and extracting the necessary arguments for its operation.
To support these integrations, a synthetic dataset has been developed that facilitates tool calls, structured in key-value pairs that define the queries, required resources, and potential constraints. This training set includes 560 questions, along with 120 questions in the test set, which serve to assess the accuracy and effectiveness of the tools.
When preparing the dataset, a fine-tuning process is undertaken that employs customization techniques, allowing the models to be adapted to specific tasks. Preliminary results indicate that accuracy in tool calls and reasoning has significantly improved, suggesting that these lightweight models can competently compete in applications where precision is crucial.
In conclusion, innovation in tool integration and model customization through platforms like Amazon Nova and Amazon Bedrock is revolutionizing the way companies tackle complex problems, raising the standards of operational efficiency and decision-making in the realm of artificial intelligence.
via: MiMub in Spanish
