Analytics Vidhya

OCTOBER 1, 2023

For invoice extraction, one has to gather data, build a document search machine learning model, model fine-tuning etc. The introduction of Generative AI took all of us by storm and many things were simplified using the LLM model.

LLM 339

LLM Large Language Models Machine Learning Generative AI 339

Analytics Vidhya

MAY 8, 2024

These models can understand and generate human-like text, enabling applications like chatbots and document summarization. Ludwig, a low-code framework, is designed […] The post Ludwig: A Comprehensive Guide to LLM Fine Tuning using LoRA appeared first on Analytics Vidhya.

LLM 306

LLM NLP Artificial Intelligence Artificial Intelligence 306

Unite.AI

OCTOBER 2, 2023

Chatgpt New ‘Bing' Browsing Feature Prompt engineering is effective but insufficient Prompts serve as the gateway to LLM's knowledge. However, crafting an effective prompt is not the full-fledged solution to get what you want from an LLM. Although advanced LLM has built-in mechanisms to recognize and avoid such outputs.

LLM 298

LLM Prompt Engineer Prompt Engineering Large Language Models 298

Unite.AI

JULY 5, 2024

In this comprehensive guide, we'll explore LLM-driven synthetic data generation, diving deep into its methods, applications, and best practices. Introduction to Synthetic Data Generation with LLMs Synthetic data generation using LLMs involves leveraging these advanced AI models to create artificial datasets that mimic real-world data.

LLM 259

LLM Prompt Engineer Prompt Engineering Data Scarcity 259

Analytics Vidhya

MARCH 22, 2024

Introduction With the advent of RAG (Retrieval Augmented Generation) and Large Language Models (LLMs), knowledge-intensive tasks like Document Question Answering, have become a lot more efficient and robust without the immediate need to fine-tune a cost-expensive LLM to solve downstream tasks.

Large Language Models 178

Large Language Models LLM Metadata 178

Unite.AI

MARCH 5, 2024

Large Language Models (LLMs) are revolutionizing how we process and generate language, but they're imperfect. Just like humans might see shapes in clouds or faces on the moon, LLMs can also ‘hallucinate,' creating information that isn’t accurate. Let’s take a closer look at how RAG makes LLMs more accurate and reliable.

LLM 290

LLM Large Language Models Prompt Engineer Prompt Engineering 290

Unite.AI

NOVEMBER 14, 2024

The LLM-as-a-Judge framework is a scalable, automated alternative to human evaluations, which are often costly, slow, and limited by the volume of responses they can feasibly assess. Here, the LLM-as-a-Judge approach stands out: it allows for nuanced evaluations on complex qualities like tone, helpfulness, and conversational coherence.

LLM 147

LLM Chatbots Automation Prompt Engineer 147

Towards AI

NOVEMBER 16, 2024

Build your own Chat-With-Document Application using Python in the most guided and intuitive way. Imagine that you have to read and understand a large document about a completely bizarre topic, a topic that’s completely out of your domain of knowledge, but due to some circumstances, you have to fully understand it, that too in a short span.

Python 83

Python Explainability LLM AI 83

Unite.AI

OCTOBER 25, 2023

In-context learning has emerged as an alternative, prioritizing the crafting of inputs and prompts to provide the LLM with the necessary context for generating accurate outputs. They help in importing data from varied sources and formats, encapsulating them into a simplistic ‘Document' representation.

LLM 304

LLM OpenAI Prompt Engineer Prompt Engineering 304

Analytics Vidhya

AUGUST 10, 2023

Google’s researchers have unveiled a groundbreaking achievement – Large Language Models (LLMs) can now harness Machine Learning (ML) models and APIs with the mere aid of tool documentation.

Large Language Models 268

Large Language Models Artificial Intelligence Artificial Intelligence Machine Learning 268

databricks

NOVEMBER 21, 2023

We recently announced our AI-generated documentation feature, which uses large language models (LLMs) to automatically generate documentation for tables and columns in Unity.

LLM 138

LLM Large Language Models AI AI 138

Analytics Vidhya

SEPTEMBER 19, 2023

Use it for a variety of tasks, like translating text, answering […] The post Unlocking LangChain & Flan-T5 XXL | A Guide to Efficient Document Querying appeared first on Analytics Vidhya. For example, OpenAI’s GPT-3 model has 175 billion parameters.

Large Language Models 325

Large Language Models Artificial Intelligence Artificial Intelligence OpenAI 325

Marktechpost

AUGUST 11, 2024

It is common practice for businesses to employ conventional methods when developing an extraction pipeline for each unique document layout. Also, while off-the-shelf LLMs have great reasoning capabilities, they have problems with hallucinations and inaccurate extraction; thus, they need to be more dependable for industrial use cases.

LLM 101

LLM Neural Network Data Extraction Machine Learning 101

Unite.AI

AUGUST 16, 2023

Every customer conversation or VC pitch involves questions about how ready LLM tech is and how it will drive future applications. Large Language Models and Core Strengths LLMs are good at understanding language, that’s their forte. Then the search results are compiled into a prompt and sent to the LLM mostly as an API call.

Large Language Models 246

Large Language Models LLM Generative AI ChatGPT 246

Towards AI

NOVEMBER 14, 2024

This week, I am super excited to finally announce that we released our first independent industry-focus course: From Beginner to Advanced LLM Developer. Put a dozen experts (frustrated ex-PhDs, graduates, and industry) and a year of dedicated work, and you get the most practical and in-depth LLM Developer course out there (~90 lessons).

LLM 90

LLM Machine Learning Python Prompt Engineer 90

Unite.AI

JULY 2, 2024

Retrieval-Augmented Generation (RAG) is a technique that combines the power of LLMs with external knowledge retrieval. RAG allows us to ground LLM responses in factual, up-to-date information, significantly improving the accuracy and reliability of AI-generated content. What are LLM Agents?

LLM 162

LLM OpenAI Python Machine Learning 162

AWS Machine Learning Blog

AUGUST 9, 2024

Question and answering (Q&A) using documents is a commonly used application in various use cases like customer support chatbots, legal research assistants, and healthcare advisors. In this collaboration, the AWS GenAIIC team created a RAG-based solution for Deltek to enable Q&A on single and multiple government solicitation documents.

Data Ingestion 120

Data Ingestion Metadata LLM Generative AI 120

Unite.AI

JUNE 30, 2023

Large Language Model (LLM) technology will play a significant role in the development of future applications. LLMs are very good at understanding language because of the extensive pre-training that has been done for foundation models on trillions of lines of public domain text, including code. Let’s look at these various levels.

Large Language Models 278

Large Language Models LLM OpenAI Prompt Engineer 278

Marktechpost

OCTOBER 28, 2024

These approaches need to be revised in handling lengthy documents comprehensively, leading to issues such as incomplete data representation and significant information loss. In current practice, traditional methods of KG construction rely heavily on LLM prompting to derive knowledge triplets.

LLM 105

LLM Inference Engine Large Language Models Artificial Intelligence 105

Unite.AI

SEPTEMBER 13, 2024

As the demand for large language models (LLMs) continues to rise, ensuring fast, efficient, and scalable inference has become more crucial than ever. NVIDIA's TensorRT-LLM steps in to address this challenge by providing a set of powerful tools and optimizations specifically designed for LLM inference.

Large Language Models 130

Large Language Models LLM Auto-complete Natural Language Processing 130

Towards AI

DECEMBER 29, 2023

Once you’ve loaded documents, you’ll often want to transform them to better suit your application. The simplest example is you may want to split a long document into smaller chunks that can fit into your model’s context window. Why do we need document splitting?Different

LLM 109

LLM AI AI Data Science 109

Flipboard

NOVEMBER 15, 2024

Turn any document into a conversation-ready AI tool with AnythingLLM — a versatile, open-source platform for building a secure, private assistant.

LLM 168

LLM AI Tools AI AI 168

Analytics Vidhya

OCTOBER 23, 2023

ResearchBot is a cutting-edge LLM-powered application project that uses the capabilities of OpenAI’s LLM (Large Language Models) with Langchain for Information retrieval.

LLM 273

LLM Large Language Models OpenAI AI 273

Unite.AI

JULY 9, 2024

LLM watermarking, which integrates imperceptible yet detectable signals within model outputs to identify text generated by LLMs, is vital for preventing the misuse of large language models. Conversely, the Christ Family alters the sampling process during LLM text generation, embedding a watermark by changing how tokens are selected.

LLM 130

LLM Large Language Models Algorithm Automation 130

Towards AI

JANUARY 10, 2024

Once you’ve loaded documents, you’ll often want to transform them to better suit your application. The simplest example is you may want to split a long document into smaller chunks that can fit into your model’s context window. Why do we need document splitting?

LLM 99

LLM AI AI Data Science 99

Marktechpost

JUNE 9, 2024

A recent benchmark study conducted by the BentoML engineering team offers valuable insights into the performance of various inference backends, specifically focusing on vLLM, LMDeploy, MLC-LLM, TensorRT-LLM, and Hugging Face TGI (Text Generation Inference). TTFT also degraded significantly at 100 users.

LLM 131

LLM Large Language Models Chatbots Artificial Intelligence 131

Towards AI

AUGUST 30, 2023

It works by storing text-based documents (that the LLM has no knowledge of) on an external database. When a user asks the LLM a question, the system retrieves relevant documents from this database and provides them to the LLM to use as a reference to answer the user's question. for this chatbot.

OpenAI 112

OpenAI LLM Chatbots ChatGPT 112

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 129

IDP LLM Prompt Engineer Prompt Engineering 129

Marktechpost

SEPTEMBER 27, 2024

As the volume of unstructured data grows in various fields, including healthcare, legal, and finance, the demand for efficient, accurate document processing solutions increases. Traditional approaches to handling this data are often inefficient, time-consuming, and prone to errors, especially when documents contain ambiguity or noise.

LLM 125

LLM Natural Language Processing Large Language Models Automation 125

Marktechpost

AUGUST 14, 2024

Traditional methods for handling such data are either too slow, require extensive manual work, or are not flexible enough to adapt to the wide variety of document types and layouts that businesses encounter. Sparrow enables the creation of independent LLM agents that can be called through an API to handle specific tasks.

Data Extraction 134

Data Extraction Automation Machine Learning LLM 134

AWS Machine Learning Blog

AUGUST 21, 2024

Today, physicians spend about 49% of their workday documenting clinical visits, which impacts physician productivity and patient care. By using the solution, clinicians don’t need to spend additional hours documenting patient encounters. This blog post focuses on the Amazon Transcribe LMA solution for the healthcare domain.

LLM 104

LLM Automation Generative AI ML 104

Artificial Lawyer

AUGUST 27, 2024

Lexlegis.AI, a Mumbai-based legal research company, has launched what appears to be a legal-specific LLM. It is trained on over 10 million Indian legal documents.

LLM 117

LLM 117

Mlearning.ai

MAY 13, 2023

In most cases answer is no Large Language models can be used as is How to consume my companies document and use it for LLM? Submission Suggestions Using custom document with LLM (Azure Open AI/Open AI) was originally published in MLearning.ai at main · balakreshnan/Samples2023 · GitHub BECOME a WRITER at MLearning.ai .

LLM 52

LLM Large Language Models AI AI 52

Unite.AI

JANUARY 10, 2024

By integrating the sophisticated language processing capabilities of models like ChatGPT with the versatile and widely-used Scikit-learn framework, Scikit-LLM offers an unmatched arsenal for delving into the complexities of textual data. Why Scikit-LLM? and the user-friendly environment of Scikit-learn. Installation %%capture !pip

Large Language Models 147

Large Language Models LLM Machine Learning Python 147

Marktechpost

JULY 22, 2024

Automated code documentation is a critical area within this domain, aiming to enhance software readability and maintainability through advanced tools and techniques. This issue is particularly pronounced in large codebases where documentation may be sparse or outdated, leading to increased maintenance costs and reduced productivity.

Automation 100

Automation Software Engineer Software Development Large Language Models 100

Marktechpost

JULY 21, 2024

Recently, a team of researchers introduced the Neo4j LLM Knowledge Graph Builder , an AI tool that can easily address this issue. A collection of powerful machine learning models, including OpenAI, Gemini, Llama3, Diffbot, Claude, and Qwen, is the foundation of the Neo4j LLM Knowledge Graph Builder. The steps involved are as follows.

LLM 132

LLM AI Tools Data Analysis Machine Learning 132

Marktechpost

MARCH 23, 2024

the Vision Transformers) and the LLM with a Vision-toText (V2T) module. However, these models still need to improve understanding and extracting text from images containing rich text information, like documents, webpages, tables, and charts. The output channel is set equal to the input channel.

Large Language Models 132

Large Language Models LLM ML Computer Vision 132