Marktechpost

MAY 7, 2024

The rapid advancement of Large Language Models (LLMs) has sparked interest among researchers in academia and industry alike. Moreover, differences in data table structures between BI and traditional SQL contexts further complicate the translation process.

Business Intelligence 117

Business Intelligence Prompt Engineer Prompt Engineering Natural Language Processing 117

Unite.AI

AUGUST 4, 2023

In this article, we will delve deeper into these issues, exploring the advanced techniques of prompt engineering with Langchain, offering clear explanations, practical examples, and step-by-step instructions on how to implement them. Prompts play a crucial role in steering the behavior of a model.

Prompt Engineer 245

Prompt Engineer Prompt Engineering Python NLP 245

Unite.AI

JANUARY 11, 2024

They serve as a core building block in many natural language processing (NLP) applications today, including information retrieval, question answering, semantic search and more. As the paper demonstrated, prompt engineering allows creating training data for hundreds of thousands of embedding tasks.

Large Language Models 147

Large Language Models Prompt Engineer Prompt Engineering BERT 147

AWS Machine Learning Blog

OCTOBER 6, 2023

For instance, in ecommerce, image-to-text can automate product categorization based on images, enhancing search efficiency and accuracy. More recently, there has been increasing attention in the development of multimodality models, which are capable of processing and generating content across different modalities.

Generative AI 96

Generative AI Prompt Engineer Prompt Engineering Computer Vision 96

Marktechpost

JANUARY 11, 2024

We have categorized them to make it easier to cover maximum tools. Released as an advancement over Google’s PaLM 2, Gemini integrates natural language processing for effective understanding and processing of language in input queries and data.

Large Language Models 104

Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 104

AWS Machine Learning Blog

MARCH 13, 2024

Use LLM prompt engineering to accommodate customized policies The pre-trained Toxicity Detection models from Amazon Transcribe and Amazon Comprehend provide a broad toxicity taxonomy, commonly used by social platforms for moderating user-generated content in audio and text formats.

LLM 107

LLM Natural Language Processing Prompt Engineer Prompt Engineering 107

AWS Machine Learning Blog

SEPTEMBER 14, 2023

Amazon Comprehend is a natural-language processing (NLP) service that uses machine learning to uncover valuable insights and connections in text. Knowledge management – Categorizing documents in a systematic way helps to organize an organization’s knowledge base. This allows for better monitoring and auditing.

Categorization 94

Categorization Machine Learning Data Scientist Natural Language Processing 94

Snorkel AI

MAY 25, 2023

A brief history of large language models Large language models grew out of research and experiments with neural networks to allow computers to process natural language. Text editing Large language models can edit text or suggest improvements or corrections to an existing piece of writing.

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

Snorkel AI

MAY 25, 2023

A brief history of large language models Large language models grew out of research and experiments with neural networks to allow computers to process natural language. Text editing Large language models can edit text or suggest improvements or corrections to an existing piece of writing.

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

AWS Machine Learning Blog

OCTOBER 24, 2023

Amazon Comprehend is a natural language processing (NLP) service that uses ML to extract insights from text. LLMs are helpful in document classification because they can analyze the text, patterns, and contextual elements in the document using natural language understanding.

IDP 112

IDP LLM Prompt Engineer Prompt Engineering 112

AWS Machine Learning Blog

DECEMBER 5, 2023

The custom metadata helps organizations and enterprises categorize information in their preferred way. His focus area is AI/ML, and he helps customers with generative AI, large language models, and prompt engineering. For example, metadata can be used for filtering and searching.

Metadata 98

Metadata Auto-classification Auto-complete Content Enrichment 98

Explosion

MAY 17, 2023

A lot of people are building truly new things with Large Language Models (LLMs), like wild interactive fiction experiences that weren’t possible before. But if you’re working on the same sort of Natural Language Processing (NLP) problems that businesses have been trying to solve for a long time, what’s the best way to use them?

LLM 135

LLM NLP Large Language Models OpenAI 135

deepsense.ai

NOVEMBER 14, 2023

In short, EDS is the problem of the widespread lack of a rational approach to and methodology for the objective, automated and quantitative evaluation of performance in terms of generative model finetuning and prompt engineering for specific downstream GenAI tasks related to practical business applications. There is a ‘but’, however.

Generative AI 83

Generative AI ML Prompt Engineer Prompt Engineering 83

Unite.AI

SEPTEMBER 20, 2023

To install and import the library, use the following commands: pip install -q transformers from transformers import pipeline Having done that, you can execute NLP tasks starting with sentiment analysis, which categorizes text into positive or negative sentiments.

LLM 342

LLM BERT NLP Python 342

Unite.AI

AUGUST 8, 2023

Information Retrieval: Using LLMs, such as BERT or GPT, as part of larger architectures to develop systems that can fetch and categorize information. This recent post demystifies Midjourney in a detailed guide, elucidating both the platform and its prompt engineering intricacies.

Generative AI 243

Generative AI ChatGPT Neural Network Convolutional Neural Networks 243

Flipboard

DECEMBER 6, 2023

Tools like LangChain , combined with a large language model (LLM) powered by Amazon Bedrock or Amazon SageMaker JumpStart , simplify the implementation process. Types of summarizations There are several techniques to summarize text, which are broadly categorized into two main approaches: extractive and abstractive summarization.

BERT 128

BERT Large Language Models Artificial Intelligence Artificial Intelligence 128

AWS Machine Learning Blog

NOVEMBER 1, 2023

Key strengths of VLP include the effective utilization of pre-trained VLMs and LLMs, enabling zero-shot or few-shot predictions without necessitating task-specific modifications, and categorizing images from a broad spectrum through casual multi-round dialogues. He focuses on developing scalable machine learning algorithms.

Auto-classification 91

Auto-classification LLM Auto-complete Generative AI 91