AWS Machine Learning Blog

OCTOBER 11, 2024

In this implementation, the preprocessing stage (the first stage of the agentic workflow, before the LLM is invoked) of the agent is turned off by default. Prerequisites To run this demo in your AWS account, complete the following prerequisites: Create an AWS account if you don’t already have one. Delete the S3 bucket.

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LLM Chatbots Natural Language Processing Large Language Models 139

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.

Large Language Models 104

Large Language Models LLM Natural Language Processing NLP 104

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

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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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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Large Language Models Generative AI LLM AI 128

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 132

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

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 106

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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Large Language Models LLM NLP BERT 98

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.

Prompt Engineer 98

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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NLP Data Scientist Natural Language Processing Large Language Models 52

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. Click on the image below to see a demo of Automated Reasoning checks in Amazon Bedrock Guardrails.

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Responsible AI AI Tools AI AI 117

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

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 133

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!

AI 105

AI AI NLP Computer Vision 105

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

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 136

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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Generative AI LLM AI AI 138

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.

LLM 52

LLM Large Language Models NLP Generative AI 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.

NLP 52

NLP Natural Language Processing Large Language Models Python 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

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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Robotics NLP AI AI 96

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 129

AWS Machine Learning Blog

AUGUST 21, 2024

We invite you to explore the following demo, which showcases the LMA for healthcare in action using a simulated patient interaction. Prompting is a technique used in natural language processing (NLP) and language models to provide context or guidance to the model, allowing it to generate relevant and coherent output.

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LLM Automation ML Generative AI 124

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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NLP Automation Natural Language Processing Metadata 52

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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Prompt Engineer Prompt Engineering Large Language Models Natural Language Processing 98

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

Large Language Models 98

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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Generative AI Large Language Models Explainability LLM 98

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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Prompt Engineer Prompt Engineering Large Language Models Data Science 97

ODSC - Open Data Science

FEBRUARY 14, 2023

Since its release on November 30, 2022 by OpenAI , the ChatGPT public demo has taken the world by storm. Researchers are developing techniques to make LLM training more efficient. DeepMind published recommendations for how to train LLMs given a fixed computational budget, leading to significant gains in efficiency.

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ChatGPT Large Language Models OpenAI Conversational AI 124

AWS Machine Learning Blog

AUGUST 14, 2023

In this post and accompanying notebook, we demonstrate how to deploy the BloomZ 176B foundation model using the SageMaker Python simplified SDK in Amazon SageMaker JumpStart as an endpoint and use it for various natural language processing (NLP) tasks. The code for all the steps in this demo is available in the following notebook.

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NLP Robotics Prompt Engineer Prompt Engineering 92

John Snow Labs

APRIL 18, 2024

In this post, we explore the utilization of pre-trained models within the Healthcare NLP library by John Snow Labs to map medical terminology to the MedDRA ontology. Let us start with a short Spark NLP introduction and then discuss the details of the response to cancer treatment with some solid results.

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NLP BERT Categorization Automation 40

Snorkel AI

AUGUST 9, 2023

Large Language Models ( LLMs ) have grown increasingly capable in recent years across a wide variety of tasks. The presence of these “resistances” can be advertised in a large variety of ways, making this a challenging NLP problem. is currently the state-of-the-art LLM. Book a demo today. Made in the USA. Handcrafted.

LLM 52

LLM Prompt Engineer Prompt Engineering NLP 52

Marktechpost

JULY 23, 2023

Incredibly, LLMs have proven to match with human values, providing helpful, honest, and harmless responses. In particular, this capability has been greatly enhanced by methods that fine-tune a pretrained LLM on various tasks or user preferences, such as instruction tuning and reinforcement learning from human feedback (RLHF).

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AI Research AI Researcher LLM Natural Language Processing 98

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. Instruction tuning Instruction tuning is a technique that involves fine-tuning a language model on a collection of NLP tasks using instructions.

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Natural Language Processing NLP Prompt Engineer Prompt Engineering 102