Remove Auto-complete Remove Generative AI Remove Large Language Models
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Evaluate large language models for your machine translation tasks on AWS

AWS Machine Learning Blog

Large language models (LLMs) have demonstrated promising capabilities in machine translation (MT) tasks. Depending on the use case, they are able to compete with neural translation models such as Amazon Translate. When the indexing is complete, select the created index from the index dropdown.

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Best Large Language Models & Frameworks of 2023

AssemblyAI

However, among all the modern-day AI innovations, one breakthrough has the potential to make the most impact: large language models (LLMs). Large language models can be an intimidating topic to explore, especially if you don't have the right foundational understanding. Want to dive deeper?

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Derive generative AI powered insights from Alation Cloud Services using Amazon Q Business Custom Connector

AWS Machine Learning Blog

To build a generative AI -based conversational application integrated with relevant data sources, an enterprise needs to invest time, money, and people. Additionally, you might need to hire and staff a large team to build, maintain, and manage such a system. This blog post is co-written with Gene Arnold from Alation.

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Beyond ChatGPT; AI Agent: A New World of Workers

Unite.AI

Current Landscape of AI Agents AI agents, including Auto-GPT, AgentGPT, and BabyAGI, are heralding a new era in the expansive AI universe. AI Agents vs. ChatGPT Many advanced AI agents, such as Auto-GPT and BabyAGI, utilize the GPT architecture.

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Striking Performance: Large Language Models up to 4x Faster on RTX With TensorRT-LLM for Windows

NVIDIA

Generative AI is one of the most important trends in the history of personal computing, bringing advancements to gaming, creativity, video, productivity, development and more. It speeds up the generative AI diffusion model by up to 2x over the previous fastest implementation.

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Transforming customer service: How generative AI is changing the game

IBM Journey to AI blog

Currently chat bots are relying on rule-based systems or traditional machine learning algorithms (or models) to automate tasks and provide predefined responses to customer inquiries. Enterprise organizations (many of whom have already embarked on their AI journeys) are eager to harness the power of generative AI for customer service.

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AI code-generation software: What it is and how it works

IBM Journey to AI blog

The user enters a text prompt describing what the code should do, and the generative AI code development tool automatically creates the code. It can also modernize legacy code and translate code from one programming language to another. How does generative AI code generation work?