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. His area of research is all things natural language (like NLP, NLU, and NLG). His work has been focused on conversational AI, task-oriented dialogue systems, and LLM-based agents.

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ODSC - Open Data Science

AUGUST 24, 2023

Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices Editor’s note: Jayachandran Ramachandran and Rohit Sroch are speakers for ODSC APAC this August 22–23. are harnessed to channel LLMs output. Auto Eval Common Metric Eval Human Eval Custom Model Eval 3.

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John Snow Labs

OCTOBER 2, 2023

In the ever-evolving landscape of natural language processing (NLP), staying at the forefront of innovation is not just an aspiration; it’s a necessity. Whether you’re a seasoned NLP practitioner seeking to enhance your workflow or a newcomer eager to explore the cutting edge of NLP, this blog post will be your guide.

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ODSC - Open Data Science

MARCH 11, 2024

Introducing the Topic Tracks for ODSC East 2024 — Highlighting Gen AI, LLMs, and Responsible AI ODSC East 2024 , coming up this April 23rd to 25th, is fast approaching and this year we will have even more tracks comprising hands-on training sessions, expert-led workshops, and talks from data science innovators and practitioners.

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John Snow Labs

SEPTEMBER 26, 2023

Experts Share Perspectives on How Advanced NLP Technologies Will Shape Their Industries and Unleash Better & Faster Results. to be precise) of data scientists and engineers plan to deploy Large Language Model (LLM) applications into production in the next 12 months or “as soon as possible.” billion by the end of 2030.

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Unite.AI

DECEMBER 1, 2023

As we continue to integrate AI more deeply into various sectors, the ability to interpret and understand these models becomes not just a technical necessity but a fundamental requirement for ethical and responsible AI development. Impact of the LLM Black Box Problem 1.

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AWS Machine Learning Blog

OCTOBER 17, 2023

In this post, we describe how Amazon Pharmacy implemented its customer care agent assistant chatbot solution using AWS AI products, including foundation models in Amazon SageMaker JumpStart to accelerate its development. Agents use a separate internal customer care UI to ask questions to the LLM-based Q&A chatbot (Step 2).

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Allen AI

FEBRUARY 1, 2024

It’s the equivalent of drug discovery without clinical trials or studying the solar system without a telescope,” said Hanna Hajishirzi , OLMo project lead, a senior director of NLP Research at AI2, and a professor in the UW’s Allen School.

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John Snow Labs

DECEMBER 23, 2023

In the era of rapidly evolving Large Language Models (LLMs) and chatbot systems , we highlight the advantages of using LLM systems based on RAG (Retrieval Augmented Generation). RAG LLMs have the advantage of reducing hallucinations, by explaining the source of each fact, and enabling the use of private documents to answer questions.

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John Snow Labs

DECEMBER 23, 2023

In the era of rapidly evolving Large Language Models (LLMs) and chatbot systems, we highlight the advantages of using LLM systems based on RAG (Retrieval Augmented Generation). RAG LLMs have the advantage of reducing hallucinations, by explaining the source of each fact, and enabling the use of private documents to answer questions.

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Chatbots LLM Large Language Models NLP 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 also introduces Google’s 7 AI principles.

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AWS Machine Learning Blog

MARCH 4, 2024

Alida’s customers receive tens of thousands of engaged responses for a single survey, therefore the Alida team opted to leverage machine learning (ML) to serve their customers at scale. The new service achieved a 4-6 times improvement in topic assertion by tightly clustering on several dozen key topics vs. hundreds of noisy NLP keywords.

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Topbots

DECEMBER 5, 2023

Top LLM Research Papers 2023 1. LLaMA by Meta AI Summary The Meta AI team asserts that smaller models trained on more tokens are easier to retrain and fine-tune for specific product applications. The instruction tuning involves fine-tuning the Q-Former while keeping the image encoder and LLM frozen.

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TheSequence

MAY 29, 2023

In this post Toloka showcases Human-in-the-Loop using StarCoder, a code LLM, as an example. This successful implementation demonstrates how responsible AI and high-performing models can align. The risks of harmful results do not align with the principles of Responsible AI. Looking through 6.4

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Unite.AI

JANUARY 23, 2024

Large language models (LLMs) have exploded in popularity over the last few years, revolutionizing natural language processing and AI. From chatbots to search engines to creative writing aids, LLMs are powering cutting-edge applications across industries. Retrieval augments LLMs by allowing huge external context.

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Marktechpost

MAY 6, 2024

In the quickly changing field of Natural Language Processing (NLP), the possibilities of human-computer interaction are being reshaped by the introduction of advanced conversational Question-Answering (QA) models. The Llama project is expected to spur responsible AI adoption across various areas and boost innovation as it develops.

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Large Language Models Natural Language Processing NLP Responsible AI 122

Unite.AI

JULY 11, 2023

This course explores LLMs (Large Language Models) – AI models trained on large amounts of textual data. Google’s Bard AI ” is an excellent example of an LLM that makes advanced human-machine interaction possible. Understand how LLMs are used for sentiment analysis. What is Responsible Artificial Intelligence ?

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ODSC - Open Data Science

FEBRUARY 6, 2024

Stay at the forefront of increasingly ubiquitous technology with the leading AI training conference, ODSC East this April 23rd-25th in Boston. Check out some of the LLM-focused training sessions, workshops, and talks you’ll find at the conference.

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Unite.AI

APRIL 26, 2024

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP) by demonstrating remarkable capabilities in generating human-like text, answering questions, and assisting with a wide range of language-related tasks. While effective in various NLP tasks, few LLMs, such as Flan-T5, adopt this architecture.

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John Snow Labs

OCTOBER 19, 2023

Generating Synthetic NLP Data to Reduce Sycophancy In our continued pursuit of taming sycophantic behavior in AI models on mathematical data, we focus on Natural Language Processing (NLP). Our toolkit of NLP datasets is extensive, encompassing a wide spectrum of datasets that can be defined in the harness class.

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Snorkel AI

JANUARY 26, 2024

Snorkel AI’s Jan. 25 Enterprise LLM Summit: Building GenAI with Your Data drew over a thousand engaged attendees across three and a half hours and nine sessions. The eight speakers at the event—the second in our Enterprise LLM series—united around one theme: AI data development drives enterprise AI success.

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ODSC - Open Data Science

JANUARY 31, 2024

The fact is that these AI powerhouses can generate text, translate languages, write different kinds of creative content, and even answer your questions in an informative way. But, now that you have the makings of an LLM or even a model, how will your team turn your model into an AI beast that can enhance your company’s productivity?

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John Snow Labs

SEPTEMBER 26, 2024

This session shows how it built a de-identification process for free-text clinical notes, with John Snow Labs’ Healthcare NLP & LLM at its core. Dandelion Health is a provider of multimodal, longitudinal clinical data for healthcare innovators. Breaking down different note types (e.g.

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AWS Machine Learning Blog

JUNE 25, 2024

However, the implementation of LLMs without proper caution can lead to the dissemination of misinformation , manipulation of individuals, and the generation of undesirable outputs such as harmful slurs or biased content. Introduction to guardrails for LLMs The following figure shows an example of a dialogue between a user and an LLM.

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AWS Machine Learning Blog

JUNE 25, 2024

From customer service and ecommerce to healthcare and finance, the potential of LLMs is being rapidly recognized and embraced. Businesses can use LLMs to gain valuable insights, streamline processes, and deliver enhanced customer experiences. The raw data is processed by an LLM using a preconfigured user prompt.

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Automation Prompt Engineer Prompt Engineering Categorization 119

Unite.AI

AUGUST 28, 2024

AI21 Labs has introduced a new solution with Jamba, a state-of-the-art large language model (LLM) that combines the strengths of both Transformer and Mamba architectures in a hybrid framework. This architecture allows Jamba to balance memory usage, throughput, and performance, making it a powerful tool for a wide range of NLP tasks.

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John Snow Labs

JANUARY 29, 2024

Several such case studies were presented by the US Veteran’s Administration , ClosedLoop , and WiseCube at John Snow Labs’ annual Natural Language Processing (NLP) Summit , now the world’s largest gathering of applied NLP and LLM practitioners.

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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. For those who might not know, this role acts as a bridge between human intent and machine understanding, shaping the interactions we have with AI systems.

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Topbots

JULY 29, 2024

Here are the courses we cover: Generative AI for Everyone by DeepLearning.ai Introduction to Generative AI by Google Cloud Generative AI: Introduction and Applications by IBM ChatGPT Promt Engineering for Developers by OpenAI and DeepLearning.ai LangChain for LLM Application Development by LangChain and DeepLearning.ai

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ODSC - Open Data Science

FEBRUARY 5, 2024

This milestone is highlighted by a staggering 82 million downloads of its Spark NLP library and a significant expansion in its NLP Lab offerings. In the company’s news release, they state that this positions the company at the vanguard of generative AI technology.

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ODSC - Open Data Science

FEBRUARY 16, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI. REGISTER NOW Chatbots Bid farewell to robotic, scripted chatbots.

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AWS Machine Learning Blog

JANUARY 4, 2024

One such area that is evolving is using natural language processing (NLP) to unlock new opportunities for accessing data through intuitive SQL queries. You can use supervised fine-tuning based on your LLM to improve the effectiveness of text-to-SQL. This adapts the model to the target task. This avoids reprocessing repeated queries.

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Marktechpost

AUGUST 22, 2024

NVIDIA has introduced Mistral-NeMo-Minitron 8B , a highly sophisticated large language model (LLM). This model continues their work in developing state-of-the-art AI technologies. These models will be integrated into the NVIDIA NeMo framework for generative AI, providing developers with powerful tools for various NLP tasks.

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AWS Machine Learning Blog

SEPTEMBER 13, 2024

Using natural language processing (NLP) and OpenAPI specs, Amazon Bedrock Agents dynamically manages API sequences, minimizing dependency management complexities. This agent invokes a Lambda function that internally calls the Anthropic Claude Sonnet large language model (LLM) on Amazon Bedrock to perform preliminary analysis on the images.

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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. Amazon Bedrock also comes with a broad set of capabilities required to build generative AI applications with security, privacy, and responsible AI.

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ODSC - Open Data Science

FEBRUARY 15, 2024

In this blog post, we will explore ten valuable datasets that can assist you in fine-tuning or training your LLM. Fine-tuning a pre-trained LLM allows you to customize the model’s behavior and adapt it to your specific requirements. Each dataset offers unique features and can enhance your model’s performance. Why Fine-Tune a Model?

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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. A strong ethical and critical thinking framework is essential for ensuring the responsible use of AI in generating content. This involves both quantitative and qualitative analysis.

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