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Exploring the AI and data capabilities of watsonx

IBM Journey to AI blog

These encoder-only architecture models are fast and effective for many enterprise NLP tasks, such as classifying customer feedback and extracting information from large documents. With multiple families in plan, the first release is the Slate family of models, which represent an encoder-only architecture. To bridge the tuning gap, watsonx.ai

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16 Companies Leading the Way in AI and Data Science

ODSC - Open Data Science

SAS One of the most experienced AI leaders, SAS delivers AI solutions to enhance human ingenuity. Narrowing the communications gap between humans and machines is one of SAS’s leading projects in their work with NLP. Blueprint’s tools and services allow organizations to quickly obtain decision-guiding insights from your data.

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AI Strategist: Driving Business Transformation Through Artificial Intelligence

Pickl AI

Deep Knowledge of AI and Machine Learning : A solid understanding of AI principles, Machine Learning algorithms, and their applications is fundamental. This includes familiarity with programming languages such as Python, R, and relevant frameworks like TensorFlow and PyTorch.

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The 17 Most Popular AI Software Products for 2024

Viso.ai

Such tasks include image recognition , video analytics , generative AI, voice recognition, text recognition, and NLP. The strategic importance of AI technology is growing exponentially across industries. Many businesses are exploring and investing in AI solutions to stay competitive and enhance their business processes.

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Simple guide to training Llama 2 with AWS Trainium on Amazon SageMaker

AWS Machine Learning Blog

This image is also compatible with Python 3.10, indicated by the py310, and is based on Ubuntu 20.04. The entry_point is specified as the Python script run_llama_nxd.py. He specializes in deep learning, especially in the area of NLP and CV. This image is configured to work with PyTorch, using Neuron SDK version 2.18.0

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Syngenta develops a generative AI assistant to support sales representatives using Amazon Bedrock Agents

Flipboard

Agent architecture The following diagram illustrates the serverless agent architecture with standard authorization and real-time interaction, and an LLM agent layer using Amazon Bedrock Agents for multi-knowledge base and backend orchestration using API or Python executors. Domain-scoped agents enable code reuse across multiple agents.

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Best practices for prompt engineering with Meta Llama 3 for Text-to-SQL use cases

AWS Machine Learning Blog

By implementing these practices, engineers can optimize the use of Meta Llama 3 models for various tasks, from generic inference to specialized natural language processing (NLP) applications like Text-to-SQL parsing, using the model’s capabilities effectively. Prerequisites Complete the following prerequisite steps: Have an AWS account.