IBM Journey to AI blog

APRIL 24, 2024

Prompt injections are a type of attack where hackers disguise malicious content as benign user input and feed it to an LLM application. The hacker’s prompt is written to override the LLM’s system instructions, turning the app into the attacker’s tool. Breaking down how the remoteli.io

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LLM Large Language Models Chatbots Artificial Intelligence 264

AWS Machine Learning Blog

DECEMBER 5, 2024

Automated Reasoning checks help prevent factual errors from hallucinations using sound mathematical, logic-based algorithmic verification and reasoning processes to verify the information generated by a model, so outputs align with provided facts and arent based on hallucinated or inconsistent data.

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Responsible AI AI Tools AI AI 104

IBM Journey to AI blog

SEPTEMBER 28, 2023

An AI and data platform, such as watsonx, can help empower businesses to leverage foundation models and accelerate the pace of generative AI adoption across their organization. The latest open-source LLM model we added this month includes Meta’s 70 billion parameter model Llama 2-chat inside the watsonx.ai

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Generative AI Large Language Models AI AI 248

AWS Machine Learning Blog

JULY 29, 2024

We demonstrate BYO LLM integration by using Anthropic’s Claude model on Amazon Bedrock to summarize a list of open service cases and opportunities on an account record page, as shown in the following figure. These prompts can be integrated with Salesforce capabilities such as Flows and Invocable Actions and Apex.

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AWS Machine Learning Blog

AUGUST 15, 2024

Lastly, if you don’t want to set up custom integrations with large data sources, you can simply upload your documents and support multi-turn conversations. With prompt engineering, managed RAG workflows, and access to multiple FMs, you can provide your customers rich, human agent-like experiences with precise answers.

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Chatbots Generative AI AI Chatbots LLM 123

The MLOps Blog

MARCH 12, 2024

TL;DR LLMOps involves managing the entire lifecycle of Large Language Models (LLMs), including data and prompt management, model fine-tuning and evaluation, pipeline orchestration, and LLM deployment. However, transforming raw LLMs into production-ready applications presents complex challenges.

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Prompt Engineer Prompt Engineering Large Language Models LLM 52

Snorkel AI

JUNE 9, 2023

Snorkel AI wrapped the second day of our The Future of Data-Centric AI virtual conference by showcasing how Snorkel’s data-centric platform has enabled customers to succeed, taking a deep look at Snorkel Flow’s capabilities, and announcing two new solutions.

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