deepsense.ai

JULY 30, 2023

To start simply, you could think of LLMOps ( Large Language Model Operations) as a way to make machine learning work better in the real world over a long period of time. As previously mentioned: model training is only part of what machine learning teams deal with. What is LLMOps? Why are these elements so important?

Large Language Models 98

Large Language Models LLM Machine Learning Automation 98

Unite.AI

OCTOBER 25, 2023

Large language models (LLMs) like OpenAI's GPT series have been trained on a diverse range of publicly accessible data, demonstrating remarkable capabilities in text generation, summarization, question answering, and planning. Among the indexes, ‘VectorStoreIndex' is often the go-to choice.

LLM 304

LLM OpenAI Prompt Engineer Prompt Engineering 304

AWS Machine Learning Blog

AUGUST 9, 2024

Retrieval Augmented Generation (RAG) has emerged as a leading method for using the power of large language models (LLMs) to interact with documents in natural language. The first step is data ingestion, as shown in the following diagram. This structure can be used to optimize data ingestion.

Data Ingestion 108

Data Ingestion Metadata LLM Generative AI 108

AWS Machine Learning Blog

AUGUST 8, 2024

This post highlights how Twilio enabled natural language-driven data exploration of business intelligence (BI) data with RAG and Amazon Bedrock. Twilio’s use case Twilio wanted to provide an AI assistant to help their data analysts find data in their data lake.

Metadata 101

Metadata LLM Prompt Engineer Prompt Engineering 101

AWS Machine Learning Blog

OCTOBER 6, 2023

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. Another essential component is an orchestration tool suitable for prompt engineering and managing different type of subtasks.

Generative AI 116

Generative AI Metadata LLM Natural Language Processing 116

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. What is Large Language Model Operations (LLMOps)? What the future of LLMOps looks like.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Large Language Models LLM 52

The MLOps Blog

JUNE 27, 2023

Core features of end-to-end MLOps platforms End-to-end MLOps platforms combine a wide range of essential capabilities and tools, which should include: Data management and preprocessing : Provide capabilities for data ingestion, storage, and preprocessing, allowing you to efficiently manage and prepare data for training and evaluation.

Metadata 134

Metadata Machine Learning Data Scientist Data Quality 134