AWS Machine Learning Blog

OCTOBER 24, 2023

In today’s information age, the vast volumes of data housed in countless documents present both a challenge and an opportunity for businesses. Traditional document processing methods often fall short in efficiency and accuracy, leaving room for innovation, cost-efficiency, and optimizations. However, the potential doesn’t end there.

IDP 125

IDP LLM Prompt Engineer Prompt Engineering 125

IBM Journey to AI blog

FEBRUARY 13, 2024

They are now capable of natural language processing ( NLP ), grasping context and exhibiting elements of creativity. For example, organizations can use generative AI to: Quickly turn mountains of unstructured text into specific and usable document summaries, paving the way for more informed decision-making.

Generative AI 343

Generative AI AI AI Chatbots 343

Unite.AI

JANUARY 2, 2024

Large Language Models (LLMs) have contributed to advancing the domain of natural language processing (NLP), yet an existing gap persists in contextual understanding. Core Components of RAG ( Image Source ) Retrieval: Retrieval models find information connected to the user's prompt to enhance the language model's response.

LLM 243

LLM Large Language Models Chatbots Natural Language Processing 243

Unite.AI

JANUARY 11, 2024

Text embeddings are vector representations of words, sentences, paragraphs or documents that capture their semantic meaning. They serve as a core building block in many natural language processing (NLP) applications today, including information retrieval, question answering, semantic search and more.

Large Language Models 144

Large Language Models Prompt Engineer Prompt Engineering BERT 144

Artificial Corner

JULY 23, 2024

In this week’s guest post, Diana is sharing with us free prompt engineering courses to master ChatGPT. As you might know, prompt engineering is a skill that you need to have to master ChatGPT. Here are the best free prompt engineering resources on the internet. Check them out!

Prompt Engineer 65

Prompt Engineer Prompt Engineering ChatGPT OpenAI 65

Unite.AI

SEPTEMBER 19, 2024

With a remarkable 500,000-token context window —more than 15 times larger than most competitors—Claude Enterprise is now capable of processing extensive datasets in one go, making it ideal for complex document analysis and technical workflows. Flash $0.00001875 / 1K characters $0.000075 / 1K characters $0.0000375 / 1K characters Gemini 1.5

LLM 246

LLM Automation Large Language Models OpenAI 246

ODSC - Open Data Science

OCTOBER 27, 2023

Companies in sectors like healthcare, finance, legal, retail, and manufacturing frequently handle large numbers of documents as part of their day-to-day operations. These documents often contain vital information that drives timely decision-making, essential for ensuring top-tier customer satisfaction, and reduced customer churn.

IDP 98

IDP LLM Large Language Models AI 98

ODSC - Open Data Science

JANUARY 29, 2024

The role of prompt engineer has attracted massive interest ever since Business Insider released an article last spring titled “ AI ‘Prompt Engineer Jobs: $375k Salary, No Tech Backgrund Required.” It turns out that the role of a Prompt Engineer is not simply typing questions into a prompt window.

Prompt Engineer 52

Prompt Engineer Prompt Engineering LLM Data Science 52

John Snow Labs

MAY 21, 2024

Certain sectors, particularly healthcare and finance, face restrictions on sharing training or evaluation documents outside their organizational firewalls. The Generative AI Lab features zero-shot prompts and LLMs that can operate completely within an organization’s firewall.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Generative AI LLM 52

Marktechpost

MAY 30, 2024

It includes labs on feature engineering with BigQuery ML, Keras, and TensorFlow. Inspect Rich Documents with Gemini Multimodality and Multimodal RAG This course covers using multimodal prompts to extract information from text and visual data and generate video descriptions with Gemini.

Artificial Intelligence 130

Artificial Intelligence Artificial Intelligence BERT Computer Vision 130

Marktechpost

JUNE 8, 2024

It targets individuals with basic computer and math skills, covering AI workloads, computer vision, natural language processing, document intelligence, and generative AI through beginner-level modules.

Artificial Intelligence 119

Artificial Intelligence Artificial Intelligence Machine Learning Prompt Engineer 119

Unite.AI

JANUARY 23, 2024

Unlike traditional NLP models which rely on rules and annotations, LLMs like GPT-3 learn language skills in an unsupervised, self-supervised manner by predicting masked words in sentences. Their foundational nature allows them to be fine-tuned for a wide variety of downstream NLP tasks. This enables pretraining at scale.

Large Language Models 100

Large Language Models Prompt Engineer Prompt Engineering LLM 100

AWS Machine Learning Blog

MAY 7, 2024

Tasks such as routing support tickets, recognizing customers intents from a chatbot conversation session, extracting key entities from contracts, invoices, and other type of documents, as well as analyzing customer feedback are examples of long-standing needs. We also examine the uplift from fine-tuning an LLM for a specific extractive task.

Prompt Engineer 113

Prompt Engineer Prompt Engineering Large Language Models LLM 113

Unite.AI

JUNE 11, 2024

Reporting Analysts must document every action they take to ensure their evidence holds up in a criminal or civil court later on. They can use machine learning (ML), natural language processing (NLP) and generative models for pattern recognition, predictive analysis, information seeking, or collaborative brainstorming.

NLP 144

NLP AI AI Automation 144

ODSC - Open Data Science

AUGUST 21, 2023

Though some positions may require extensive training and understanding of fields such as math, NLP , machine learning principles, and more, others seem to only require a fundamental understanding of AI with a greater emphasis on creativity. So it’s no wonder that the company is in search of a data scientist to specialize in NLP.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence Prompt Engineer Prompt Engineering 98

AWS Machine Learning Blog

JUNE 25, 2024

Unlike traditional natural language processing (NLP) approaches, such as classification methods, LLMs offer greater flexibility in adapting to dynamically changing categories and improved accuracy by using pre-trained knowledge embedded within the model. The following diagram illustrates the architecture and workflow of the proposed solution.

Automation 116

Automation Prompt Engineer Prompt Engineering Categorization 116

AWS Machine Learning Blog

MARCH 13, 2024

Furthermore, the knowledge base includes the referenced policy documents used by the evaluation, providing moderators with additional context. This enables you to manage the policy document flexibly, allowing the workflow to retrieve only the relevant policy segments for each input message.

LLM 121

LLM Natural Language Processing Prompt Engineer Prompt Engineering 121

AWS Machine Learning Blog

MAY 13, 2024

In this part of the blog series, we review techniques of prompt engineering and Retrieval Augmented Generation (RAG) that can be employed to accomplish the task of clinical report summarization by using Amazon Bedrock. It can be achieved through the use of proper guided prompts. There are many prompt engineering techniques.

Generative AI 119

Generative AI Prompt Engineer Prompt Engineering LLM 119

Unite.AI

SEPTEMBER 11, 2023

link] MetaGPT Demo Run MetaGPT provided a system design document in Markdown—a commonly used lightweight markup language. Use-Case Illustration I gave the objective to develop a CLI-based rock, paper, and scissors game, and MetaGPT successfully executed the task. Below is a video that showcases the actual run of the generated game code.

Python 326

Python OpenAI Software Development Software Engineer 326

Marktechpost

SEPTEMBER 14, 2024

While these models share similarities with GPT-4, they introduce notable distinctions in architecture, prompting capabilities, and performance. Let’s explore how to effectively prompt OpenAI’s o1 models and highlight the differences between o1 and GPT-4, drawing on insights from OpenAI’s documentation and usage guidelines.

Natural Language Processing 116

Natural Language Processing Prompt Engineer Prompt Engineering Python 116

Towards AI

DECEMBER 28, 2023

The introduction of attention mechanisms has notably altered our approach to working with deep learning algorithms, leading to a revolution in the realms of computer vision and natural language processing (NLP). In 2023, we witnessed the substantial transformation of AI, marking it as the ‘year of AI.’

Large Language Models 96

Large Language Models Natural Language Processing Prompt Engineer Prompt Engineering 96

AWS Machine Learning Blog

APRIL 3, 2023

We also demonstrate how you can engineer prompts for Flan-T5 models to perform various natural language processing (NLP) tasks. Furthermore, these tasks can be performed with zero-shot learning, where a well-engineered prompt can guide the model towards desired results. xlarge instance.

Natural Language Processing 84

Natural Language Processing NLP Prompt Engineer Prompt Engineering 84

AWS Machine Learning Blog

DECEMBER 23, 2024

Also, end-user queries are not always aligned semantically to useful information in provided documents, leading to vector search excluding key data points needed to build an accurate answer. Results are then used to augment the prompt and generate a more accurate response compared to standard vector-based RAG.

Generative AI 118

Generative AI Natural Language Processing Prompt Engineer Prompt Engineering 118

IBM Journey to AI blog

JULY 17, 2023

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.

Machine Learning 186

Machine Learning Metadata AI AI 186

Heartbeat

DECEMBER 15, 2023

I’m trying to unpack how different document loaders in LangChain impact a Retrieval Augmented Generation (RAG) system. It cleverly combines retrieving information from external documents with the generative capabilities of language models. website_url (str): The URL of the website from which to load the document.

AI Chatbots 52

AI Chatbots LLM Chatbots NLP 52

John Snow Labs

OCTOBER 16, 2023

The recent NLP Summit served as a vibrant platform for experts to delve into the many opportunities and also challenges presented by large language models (LLMs). At the recent NLP Summit, experts from academia and industry shared their insights. As the market for generative AI solutions is poised to hit $51.8 Unstructured.IO

Large Language Models 52

Large Language Models NLP Metadata Data Scarcity 52

AWS Machine Learning Blog

NOVEMBER 6, 2024

The rise of large language models (LLMs) and foundation models (FMs) has revolutionized the field of natural language processing (NLP) and artificial intelligence (AI). With Amazon Bedrock, you can integrate advanced NLP features, such as language understanding, text generation, and question answering, into your applications.

NLP 108

NLP Python Generative AI Machine Learning 108

Artificial Corner

JULY 30, 2023

Large language Models also intersect with Generative Ai, it can perform a variety of Natural Language Processing tasks, including generating and classifying text, question answering, and translating text from one language to another language, and Document summarization.

Large Language Models 86

Large Language Models LLM Natural Language Processing Deep Learning 86

ODSC - Open Data Science

AUGUST 11, 2023

Transformers for Document Understanding Vaishali Balaji | Lead Data Scientist | Indium Software In this session, you will be introduced to transformer models, as well as the concept of document understanding, the importance of AI-based solutions for document understanding, and the various techniques used for document understanding.

Data Scientist 98

Data Scientist Data Science Machine Learning Prompt Engineer 98

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. Documents can be automatically routed to the right people or workflows.

Categorization 114

Categorization Machine Learning Data Scientist Natural Language Processing 114

AWS Machine Learning Blog

DECEMBER 5, 2023

Enterprises may want to add custom metadata like document types (W-2 forms or paystubs), various entity types such as names, organization, and address, in addition to the standard metadata like file type, date created, or size to extend the intelligent search while ingesting the documents.

Metadata 117

Metadata Auto-classification Auto-complete Content Enrichment 117

Marktechpost

JULY 30, 2023

The extension also allows users to document new learnings and solutions, contributing to collective knowledge. GenAI Stack Exchange is the designated hub for discussions about prompt engineering, AI optimization, and staying up-to-date with the ever-evolving GenAI tools.

Natural Language Processing 98

Natural Language Processing Prompt Engineer Prompt Engineering AI 98

Explosion

NOVEMBER 28, 2023

The Python library offers pre-built workflows, command-line interface, and well-documented components for customized workflow scripting, allowing users to define data loading/saving processes and modify annotation interfaces. you can define your prompt using the chain-of-thought technique. For example, as of v1.14.0

Large Language Models 78

Large Language Models LLM Prompt Engineer Prompt Engineering 78

Chatbots Life

MAY 12, 2023

As everything is explained from scratch but extensively I hope you will find it interesting whether you are NLP Expert or just want to know what all the fuss is about. We will discuss how models such as ChatGPT will affect the work of software engineers and ML engineers.

ChatGPT 90

ChatGPT Software Engineer NLP Prompt Engineer 90

AWS Machine Learning Blog

DECEMBER 5, 2024

Used alongside other techniques such as prompt engineering, RAG, and contextual grounding checks, Automated Reasoning checks add a more rigorous and verifiable approach to enhancing the accuracy of LLM-generated outputs. These methods, though fast, didnt provide a strong correlation with human evaluators.

Responsible AI 101

Responsible AI AI Tools AI AI 101

ODSC - Open Data Science

JULY 3, 2023

If successful, this could lead to more efficient NLP models in the future. It is a Transformer-based model that is pre-trained to predict the next token in a document. GPT-4 is one of the better-known LLMs on this list and has already been shown to do incredible feats thanks to creative prompt engineers.

Large Language Models 98

Large Language Models Data Science Natural Language Processing Prompt Engineer 98

AWS Machine Learning Blog

SEPTEMBER 14, 2023

This post takes you through the most common challenges that customers face when searching internal documents, and gives you concrete guidance on how AWS services can be used to create a generative AI conversational bot that makes internal information more useful. The cost associated with training models on recent data is high.

Generative AI 112

Generative AI LLM Large Language Models Software Engineer 112