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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LLM Machine Learning Explainability Algorithm 264

John Snow Labs

SEPTEMBER 5, 2023

Topics Covered Include Large Language Models, Semantic Search, ChatBots, Responsible AI, and the Real-World Projects that Put Them to Work John Snow Labs , the healthcare AI and NLP company and developer of the Spark NLP library, today announced the agenda for its annual NLP Summit, taking place virtually October 3-5.

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Natural Language Processing NLP Large Language Models Chatbots 98

AWS Machine Learning Blog

MARCH 14, 2025

Finally, metrics such as ROUGE and F1 can be fooled by shallow linguistic similarities (word overlap) between the ground truth and the LLM response, even when the actual meaning is very different.

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Generative AI Responsible AI Automation LLM 82

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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Large Language Models Prompt Engineering Prompt Engineer Neural Network 277

John Snow Labs

MAY 21, 2024

This combination of nine benchmarks challenges AI models to answer thousands of medical licensing exam questions (MedQA), biomedical research questions (PubMedQA), and college-level exams in anatomy, genetics, biology, and medicine (MMLU). Recent research shows that lack of accuracy was the most concerning roadblock to Generative AI adoption.

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LLM Large Language Models NLP Responsible AI 98

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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LLM Chatbots Explainability Generative AI 123

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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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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Artificial Intelligence Artificial Intelligence BERT Computer Vision 131

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.

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Data Science LLM NLP Software Engineer 52

John Snow Labs

DECEMBER 2, 2024

Today, we are excited to announce that John Snow Labs’ Medical LLM – Small and Medical LLM – Medium large language models (LLMs) are now available on Amazon SageMaker Jumpstart. Medical LLM in SageMaker JumpStart is available in two sizes: Medical LLM – Small and Medical LLM – Medium.

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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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NLP Prompt Engineering Prompt Engineer LLM 123

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 120

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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LLM Large Language Models Natural Language Processing Chatbots 111

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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LLM Large Language Models AI Research AI Researcher 76

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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Generative AI LLM Machine Learning Chatbots 126

Unite.AI

FEBRUARY 21, 2025

Large Language Models (LLMs) have significantly advanced natural language processing (NLP), excelling at text generation, translation, and summarization tasks. Traditional LLMs, designed to predict the next word, rely on statistical pattern recognition rather than structured reasoning.

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Large Language Models LLM Natural Language Processing NLP 154

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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Prompt Engineer Prompt Engineering Large Language Models Responsible AI 52

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 Engineering Prompt Engineer Categorization 122

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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Responsible AI Automation NLP Natural Language Processing 52

ODSC - Open Data Science

MARCH 31, 2025

Solving this for traditional NLP problems or retrieval systems, or extracting knowledge from the documents to train models, continues to be challenging. That type of information expands the possibilities for traditional NLP use cases and use cases for retrieval systems like RAG and the creation of training datasets forLLMs.

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Metadata DevOps NLP Large Language Models 52

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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Large Language Models Prompt Engineering Prompt Engineer LLM 100

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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NLP Large Language Models Data Scientist LLM 52

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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Prompt Engineer Prompt Engineering Generative AI LLM 138

IBM Journey to AI blog

OCTOBER 16, 2023

Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data. Generative AI chatbots have been known to insult customers and make up facts. But how trustworthy is that training data?

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Metadata Explainability Automation Explainable AI 220

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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Responsible AI Data Science Deep Learning Machine Learning 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. 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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Prompt Engineer Prompt Engineering Large Language Models Natural Language Processing 98

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

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

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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Large Language Models NLP Natural Language Processing Responsible AI 130

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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Generative AI Prompt Engineering Prompt Engineer LLM 128

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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Metadata Automation LLM NLP 129

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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LLM Responsible AI Natural Language Processing Software Engineer 52

AWS Machine Learning Blog

MARCH 14, 2024

We formulated a text-to-SQL approach where by a user’s natural language query is converted to a SQL statement using an LLM. This data is again provided to an LLM, which is asked to answer the user’s query given the data. The relevant information is then provided to the LLM for final response generation.

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Generative AI LLM AI AI 124

AWS Machine Learning Blog

APRIL 24, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon using a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

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Conversational AI LLM AI AI 131

Marktechpost

JULY 4, 2023

For the unaware, ChatGPT is a large language model (LLM) trained by OpenAI to respond to different questions and generate information on an extensive range of topics. For example, an AI system skilled in identifying images of cats might classify all black-and-white images as cats, leading to imprecise results.

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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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Prompt Engineer Prompt Engineering Large Language Models Data Science 97

AWS Machine Learning Blog

APRIL 29, 2024

As we continue to push the boundaries of what’s possible in LLM training, we encourage researchers, developers, and enterprises to take advantage of the scalability, efficiency, and enhanced security features of Trainium and Arcee’s methodologies. is the Head of Applied NLP Research at Arcee. or reach out to our team.

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Large Language Models NLP Machine Learning Artificial Intelligence 122