John Snow Labs

MAY 30, 2023

John Snow Labs Finance NLP 1.14 This includes questions and queries: LLM demos A new demo has been released showcasing how to use Flan-T5 models, finetuned on legal texts to carry out summarization , text generation and question answering. Demo available here. Don’t foger to check our notebooks and demos.

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ODSC - Open Data Science

MARCH 20, 2025

Day 1: Tuesday, May13th The first official day of ODSC East 2025 will be chock-full of hands-on training sessions and workshops from some of the leading experts in LLMs, Generative AI, Machine Learning, NLP, MLOps, and more. At night, well have our Welcome Networking Reception to kick off the firstday. Thisll be a fun, engagingday!

Data Science 52

Data Science LLM NLP Machine Learning 52

Unite.AI

SEPTEMBER 11, 2023

Last time we delved into AutoGPT and GPT-Engineering , the early mainstream open-source LLM-based AI agents designed to automate complex tasks. Enter MetaGPT — a Multi-agent system that utilizes Large Language models by Sirui Hong fuses Standardized Operating Procedures (SOPs) with LLM-based multi-agent systems.

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Python Software Development OpenAI Software Engineer 328

John Snow Labs

NOVEMBER 5, 2024

This blog post explores how John Snow Labs’ Healthcare NLP & LLM library is transforming clinical trials by using advanced NER models to efficiently filter through large datasets of patient records. link] John Snow Labs’ Healthcare NLP & LLM library offers a powerful solution to streamline this process.

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Unite.AI

MARCH 28, 2025

Multi-LLM support: (OpenAI, Anthropic, HuggingFace, etc.) Natural Language Understanding: Adas NLP accurately interprets customer questions (in over 50 languages). Generative AI + Retrieval Hybrid: Adas Reasoning Engine uses a combination of knowledge retrieval and LLMs to formulate answers.

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Marktechpost

SEPTEMBER 11, 2024

This method has proven to be extremely effective in a number of applications, earning it a key position in the natural language processing (NLP) community. Reasoning performance may suffer because of non-optimal pathways created by LLMs employing CoT. In conclusion, SCoT is a significant development in LLM reasoning.

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Large Language Models LLM Natural Language Processing NLP 102

John Snow Labs

JUNE 12, 2023

The latest version of Finance NLP , 1.15, introduces numerous additional features to the existing collection of 926+ models and 125+ Language Models from previous releases of the library. Normalizing date mentions in text This notebook shows how to use Finance NLP to standardize date mentions in the texts to a unique format.

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John Snow Labs

JANUARY 30, 2025

This blog post explores how John Snow Labs Healthcare NLP & LLM library revolutionizes oncology case analysis by extracting actionable insights from clinical text. Together, these use cases illustrate the transformative potential of combining Healthcare NLP and LLMs for oncology case analysis.

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AWS Machine Learning Blog

FEBRUARY 18, 2025

After the agent receives documents from the knowledge base and responses from tool APIs, it consolidates the information to feed it to the large language model (LLM) and generate the final response. The response from the LLM application consists of two parts. The following diagram illustrates the orchestration flow.

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John Snow Labs

JUNE 13, 2023

The latest version of Legal NLP , 1.15 Updated LLM examples With the increase in the capabilities of the library, we added new examples to help users understand how to perform certain specific tasks: Text summarization The updated notebook now shows an example of how to perform summarization on long documents.

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Snorkel AI

APRIL 11, 2024

Today, I’m incredibly excited to announce our new offering, Snorkel Custom, to help enterprises cross the chasm from flashy chatbot demos to real production AI value. Today, we help some of the world’s most sophisticated enterprises label and develop their data for tuning LLMs with our flagship platform, Snorkel Flow.

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LLM Chatbots Software Development AI Development 52

Marktechpost

MAY 30, 2024

Natural Language Processing on Google Cloud This course introduces Google Cloud products and solutions for solving NLP problems. It covers how to develop NLP projects using neural networks with Vertex AI and TensorFlow. It includes lessons on vector search and text embeddings, practical demos, and a hands-on lab.

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Artificial Intelligence Artificial Intelligence BERT Computer Vision 130

John Snow Labs

JULY 12, 2023

version of Legal NLP releases a new Contract NLI model and added new demonstration apps for Question Answering and Summarization Contract NLI model The new model is based on Flan T5 (LLM model released by Google) and finetuned on the Stanford Contract NLI dataset. Don’t forget to check our notebooks and demos. The latest 1.16.0

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Topbots

DECEMBER 5, 2023

Top LLM Research Papers 2023 1. The instruction tuning involves fine-tuning the Q-Former while keeping the image encoder and LLM frozen. These inputs are trained end-to-end with a pre-trained LLM and applied to various embodied tasks, including sequential robotic manipulation planning, visual question answering, and captioning.

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LLM Large Language Models Natural Language Processing Chatbots 111

ODSC - Open Data Science

SEPTEMBER 6, 2023

Most people who have experience working with large language models such as Google’s Bard or OpenAI’s ChatGPT have worked with an LLM that is general, and not industry-specific. CaseHOLD is a new dataset for legal NLP tasks. The CaseHOLD dataset was created to address the lack of large-scale, domain-specific datasets for legal NLP.

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AWS Machine Learning Blog

NOVEMBER 7, 2023

Furthermore, the cost to train new LLMs can prove prohibitive for many enterprise settings. However, it’s possible to cross-reference a model answer with the original specialized content, thereby avoiding the need to train a new LLM model, using Retrieval-Augmented Generation (RAG). The AWS Command Line Interface (AWS CLI) v2.

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ODSC - Open Data Science

SEPTEMBER 19, 2023

Engineers provide insights into the technical feasibility and challenges of proposed features, scientists contribute their understanding of NLP techniques, and product managers bring the user perspective, helping to shape the direction of LLM development. If anything, it’s more important.

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Prompt Engineer Prompt Engineering Large Language Models Software Engineer 98

Snorkel AI

OCTOBER 9, 2024

We’re excited to announce new natural language processing (NLP) features in Snorkel Flow’s 2024.R3 NLP is vital for our customers—it’s key to extracting insights from unstructured and structured text, and the first step to unlocking enterprise AI at scale. Building the future of NLP with Snorkel Flow With the 2024.R3

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John Snow Labs

NOVEMBER 8, 2024

A significant advancement in this space is the emergence of Healthcare-Specific LLMs, particularly those built for Retrieval-Augmented Generation (RAG). Healthcare NLP with John Snow Labs The Healthcare NLP Library, part of John Snow Labs’ Library, is a comprehensive toolset designed for medical data processing.

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Towards AI

APRIL 25, 2024

Paper Walkthrough: RAG for Knowledge-Intensive NLP Tasks This week, we have a paper walkthrough for the research paper on Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. We are working on something super cool, covering everything from the technical to the conceptual aspects of AI, LLMs, NLP, computer vision, and more!

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AWS Machine Learning Blog

DECEMBER 6, 2023

To create AI assistants that are capable of having discussions grounded in specialized enterprise knowledge, we need to connect these powerful but generic LLMs to internal knowledge bases of documents. This prompt is then presented to an LLM model to generate the final answer to the question from the context.

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Metadata LLM NLP Conversational AI 126

Snorkel AI

DECEMBER 27, 2023

Thus, it’s important to remember that the latest and greatest in LLM tech is built upon years of prior research, and many of the previous generation of models, especially Google’s BERT, still provide great performance at a lower cost. This makes BERT one of the original LLM architectures. It’s also one of the simplest.

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BERT NLP Data Scientist Large Language Models 52

John Snow Labs

SEPTEMBER 12, 2024

Healthcare NLP employs advanced filtering techniques to refine entity recognition by excluding irrelevant entities based on specific criteria like whitelists or regular expressions. This approach is essential for ensuring precision in healthcare applications, allowing only the most relevant entities to be processed in your NLP pipelines.

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NLP Natural Language Processing Large Language Models Python 52

John Snow Labs

SEPTEMBER 26, 2024

This talk shares key findings, learnings, and a demo from developing AyurGPT, a large language model specialized for medicine consultations on Ayurveda, the traditional Hindu system of medicine. The post AyurGPT: Fine-Tuning a Medical LLM for Multilingual Ayurveda Consultations appeared first on John Snow Labs.

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LLM Large Language Models NLP Generative AI 52

John Snow Labs

JUNE 26, 2024

This blog post explores how John Snow Labs’ Healthcare NLP models are revolutionizing the extraction of critical insights on opioid use disorder. Here, NLP offers a powerful solution. Let us start with a short Spark NLP introduction and then discuss the details of opioid drugs analysis with some solid results.

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NLP Categorization Large Language Models Data Analysis 52

AWS Machine Learning Blog

AUGUST 30, 2023

This solution involves fine-tuning the FLAN-T5 XL model, which is an enhanced version of T5 (Text-to-Text Transfer Transformer) general-purpose LLMs. T5 reframes natural language processing (NLP) tasks into a unified text-to-text-format, in contrast to BERT -style models that can only output either a class label or a span of the input.

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AWS Machine Learning Blog

MAY 13, 2024

In part 1 of this blog series, we discussed how a large language model (LLM) available on Amazon SageMaker JumpStart can be fine-tuned for the task of radiology report impression generation. This post then seeks to assess whether prompt engineering is more performant for clinical NLP tasks compared to the RAG pattern and fine-tuning.

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Generative AI Prompt Engineer Prompt Engineering LLM 131

Towards AI

AUGUST 1, 2023

What happened this week in AI by Louie This week we were excited to see two new developments in AI outside the realm of NLP. The latest development from Meta AI involves the unveiling of their Open Catalyst simulator application, which has just been released as a demo. or GPT-4 with Langchain, requiring just 50 lines of code.

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Snorkel AI

DECEMBER 27, 2023

Thus, it’s important to remember that the latest and greatest in LLM tech is built upon years of prior research, and many of the previous generation of models, especially Google’s BERT, still provide great performance at a lower cost. This makes BERT one of the original LLM architectures. It’s also one of the simplest.

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BERT NLP Data Scientist Large Language Models 52

John Snow Labs

MAY 3, 2024

Let’s start with a brief introduction to Spark NLP and then discuss the details of pretrained pipelines with some concrete results. Spark NLP & LLM The Healthcare Library is a powerful component of John Snow Labs’ Spark NLP platform, designed to facilitate NLP tasks within the healthcare domain.

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John Snow Labs

MAY 13, 2024

Spark NLP & LLM The Healthcare Library is a powerful component of John Snow Labs’ Spark NLP platform, designed to facilitate NLP tasks within the healthcare domain. The post Next-Level Relation Extraction in Healthcare NLP: Introducing New Directional and Contextual Features appeared first on John Snow Labs.

NLP 52

NLP Natural Language Processing Large Language Models LLM 52

ODSC - Open Data Science

AUGUST 29, 2023

AI Prompt Engineer An AI Prompt Engineer is a specialized professional at the forefront of the AI and NLP landscape. Where their expertise lies in the ability to craft input instructions that guide AI models such as GPT-4 so that these LLMs can produce accurate and contextually relevant outputs.

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ODSC - Open Data Science

OCTOBER 2, 2023

In the past year, there has been a surge of interest in large language models and LLM agents. As large language models continue their assent into multiple fields, they will begin to branch off and become more domain-specific to tackle complex problems that general LLMs aren’t well suited for. This makes LLama2.c

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Large Language Models LLM Data Science Python 98

ODSC - Open Data Science

SEPTEMBER 20, 2023

Now if you want to take your prompting to the next level, then you don’t want to miss ODSC West’s LLM Track. With a full track devoted to NLP and LLMs , you’ll enjoy talks, sessions, events, and more that squarely focus on this fast-paced field.

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AWS Machine Learning Blog

DECEMBER 14, 2023

This technique is particularly useful for knowledge-intensive natural language processing (NLP) tasks. The system feeds both the selected prompt and the user’s input into an LLM. We now extend its transformative touch to the world of text-to-image generation.

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Natural Language Processing Prompt Engineer Prompt Engineering LLM 119

AWS Machine Learning Blog

JANUARY 31, 2024

Embeddings play a key role in natural language processing (NLP) and machine learning (ML). Vector embeddings are fundamental for LLMs to understand the semantic degrees of language, and also enable LLMs to perform well on downstream NLP tasks like sentiment analysis, named entity recognition, and text classification.

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ODSC - Open Data Science

OCTOBER 3, 2023

You should be comfortable using tools and libraries for NLP to automate this process. With a full track devoted to NLP and LLMs , you’ll enjoy talks, sessions, events, and more that squarely focus on this fast-paced field. This involves both quantitative and qualitative analysis.

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