Unite.AI

SEPTEMBER 7, 2023

We are seeing a progression of Generative AI applications powered by large language models (LLM) from prompts to retrieval augmented generation (RAG) to agents. In my previous article , we saw a ladder of intelligence of patterns for building LLM powered applications. Let's look in detail. Sounds exciting!?

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LLM Generative AI Large Language Models Responsible AI 277

AWS Machine Learning Blog

NOVEMBER 15, 2024

The rapid advancement of generative AI promises transformative innovation, yet it also presents significant challenges. Concerns about legal implications, accuracy of AI-generated outputs, data privacy, and broader societal impacts have underscored the importance of responsible AI development.

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Responsible AI Prompt Engineering Prompt Engineer AI 113

Unite.AI

NOVEMBER 25, 2024

For AI and large language model (LLM) engineers , design patterns help build robust, scalable, and maintainable systems that handle complex workflows efficiently. This article dives into design patterns in Python, focusing on their relevance in AI and LLM -based systems. forms, REST API responses).

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AWS Machine Learning Blog

FEBRUARY 21, 2025

Large language models (LLMs) excel at generating human-like text but face a critical challenge: hallucinationproducing responses that sound convincing but are factually incorrect. By implementing this technique, organizations can improve response accuracy, reduce response times, and lower costs.

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LLM Large Language Models Natural Language Processing Machine Learning 126

Analytics Vidhya

FEBRUARY 24, 2024

Google has been a frontrunner in AI research, contributing significantly to the open-source community with transformative technologies like TensorFlow, BERT, T5, JAX, AlphaFold, and AlphaCode. What is Gemma LLM?

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LLM BERT Responsible AI AI Researcher 318

Unite.AI

DECEMBER 14, 2023

Data contamination in Large Language Models (LLMs) is a significant concern that can impact their performance on various tasks. It refers to the presence of test data from downstream tasks in the training data of LLMs. What Are Large Language Models?

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Large Language Models LLM Artificial Intelligence Artificial Intelligence 173

AWS Machine Learning Blog

JANUARY 28, 2025

Evaluating large language models (LLMs) is crucial as LLM-based systems become increasingly powerful and relevant in our society. Rigorous testing allows us to understand an LLMs capabilities, limitations, and potential biases, and provide actionable feedback to identify and mitigate risk.

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AWS Machine Learning Blog

FEBRUARY 5, 2025

As large language models (LLMs) become increasingly integrated into customer-facing applications, organizations are exploring ways to leverage their natural language processing capabilities. We will provide a brief introduction to guardrails and the Nemo Guardrails framework for managing LLM interactions.

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LLM Chatbots Conversational AI Large Language Models 112

NVIDIA

DECEMBER 24, 2024

Editors note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and showcases new hardware, software, tools and accelerations for GeForce RTX PC and NVIDIA RTX workstation users. For many, tools like ChatGPT were their first introduction to AI.

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Unite.AI

SEPTEMBER 7, 2023

In artificial intelligence (AI), the power and potential of Large Language Models (LLMs) are undeniable, especially after OpenAI’s groundbreaking releases such as ChatGPT and GPT-4. Despite rapid transformation, there are numerous LLM vulnerabilities and shortcomings that must be addressed.

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LLM Large Language Models Prompt Engineering Prompt Engineer 173

Flipboard

NOVEMBER 20, 2024

Retrieval Augmented Generation (RAG) has become a crucial technique for improving the accuracy and relevance of AI-generated responses. The effectiveness of RAG heavily depends on the quality of context provided to the large language model (LLM), which is typically retrieved from vector stores based on user queries.

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Metadata LLM Natural Language Processing Generative AI 160

Unite.AI

FEBRUARY 7, 2024

MLOps make ML models faster, safer, and more reliable in production. But more than MLOps is needed for a new type of ML model called Large Language Models (LLMs). Moreover, LLMs can generate inaccurate, biased, or harmful outputs, which need careful evaluation and moderation.

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Marktechpost

AUGUST 31, 2024

Large Language Models (LLMs) have demonstrated remarkable capabilities in various natural language processing tasks. However, they face a significant challenge: hallucinations, where the models generate responses that are not grounded in the source material.

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Large Language Models Categorization LLM Explainability 128

Unite.AI

JANUARY 29, 2025

Instead of solely focusing on whos building the most advanced models, businesses need to start investing in robust, flexible, and secure infrastructure that enables them to work effectively with any AI model, adapt to technological advancements, and safeguard their data. AI governance manages three things.

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LLM Explainability AI AI 165

AssemblyAI

MAY 23, 2023

With these complex algorithms often labeled as "giant black boxes" in media, there's a growing need for accurate and easy-to-understand resources, especially for Product Managers wondering how to incorporate AI into their product roadmap. The size of a model is only one aspect to account for during training.

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Large Language Models Neural Network LLM Chatbots 130

AWS Machine Learning Blog

FEBRUARY 12, 2025

Large language models (LLMs) have revolutionized the field of natural language processing with their ability to understand and generate humanlike text. Researchers developed Medusa , a framework to speed up LLM inference by adding extra heads to predict multiple tokens simultaneously.

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John Snow Labs

NOVEMBER 27, 2024

Working with Climate Action Veteran Natural Capital Partners, John Snow Labs Minimizes the Environmental Impact Associated with Building Large Language Models John Snow Labs , the AI for healthcare company providing state-of-the-art medical language models, announces today its CarbonNeutral® company certification for 2024.

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Unite.AI

FEBRUARY 6, 2025

Outside our research, Pluralsight has seen similar trends in our public-facing educational materials with overwhelming interest in training materials on AI adoption. In contrast, similar resources on ethical and responsible AI go primarily untouched. The legal considerations of AI are a given.

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Artificial Intelligence Artificial Intelligence ML Responsible AI 165

Unite.AI

MARCH 10, 2025

However, one thing is becoming increasingly clear: advanced models like DeepSeek are accelerating AI adoption across industries, unlocking previously unapproachable use cases by reducing cost barriers and improving Return on Investment (ROI).

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AI Modeling Generative AI AI Strategy Data Quality 133

AWS Machine Learning Blog

APRIL 29, 2024

In recent years, large language models (LLMs) have gained attention for their effectiveness, leading various industries to adapt general LLMs to their data for improved results, making efficient training and hardware availability crucial. Continual Pre-Training of Large Language Models: How to (re) warm your model?

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Large Language Models NLP Machine Learning Artificial Intelligence 125

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.

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Large Language Models Prompt Engineering Prompt Engineer LLM 100

AI News

MARCH 7, 2024

Indeed, as Anthropic prompt engineer Alex Albert pointed out, during the testing phase of Claude 3 Opus, the most potent LLM (large language model) variant, the model exhibited signs of awareness that it was being evaluated. The company says it has also achieved ‘near human’ proficiency in various tasks.

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Prompt Engineering Prompt Engineer OpenAI Large Language Models 332

Marktechpost

JUNE 17, 2024

Modern vision models like CLIP and LDM, trained on large image-text pair datasets, demonstrate strong capabilities in semantic matching but may prefer images that do not align with user intents. Existing benchmarks for retrieval systems often need to pay more attention to evaluating aesthetics and accountable AI.

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Large Language Models Computer Vision Data Quality Responsible AI 109

ODSC - Open Data Science

JULY 3, 2023

We’re hearing a lot about large language models, or LLMs recently in the news. If you don’t know, LLMs are a type of artificial intelligence that is trained on massive amounts of text data. PaLM 2 also demonstrates robust reasoning capabilities and stable performance on a suite of responsible AI evaluations.

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Large Language Models Data Science Natural Language Processing Prompt Engineering 98

AWS Machine Learning Blog

FEBRUARY 20, 2025

The company is committed to ethical and responsible AI development with human oversight and transparency. Verisk is using generative AI to enhance operational efficiencies and profitability for insurance clients while adhering to its ethical AI principles. Verisk developed an evaluation tool to enhance response quality.

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AWS Machine Learning Blog

NOVEMBER 26, 2024

Large language models (LLMs) have come a long way from being able to read only text to now being able to read and understand graphs, diagrams, tables, and images. In this post, we discuss how to use LLMs from Amazon Bedrock to not only extract text, but also understand information available in images.

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Convolutional Neural Networks LLM Metadata Explainability 107

Marktechpost

JULY 2, 2024

Large language models (LLMs) have gained significant attention in recent years, but ensuring their safe and ethical use remains a critical challenge. Researchers are focused on developing effective alignment procedures to calibrate these models to adhere to human values and safely follow human intentions.

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LLM Large Language Models Automation AI 113

IBM Journey to AI blog

JULY 23, 2024

collection of multilingual large language models (LLMs). comprises both pretrained and instruction-tuned text in/text out open source generative AI models in sizes of 8B, 70B and—for the first time—405B parameters. On Tuesday, July 23, Meta announced the launch of the Llama 3.1

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LLM Large Language Models Generative AI Responsible AI 249

AWS Machine Learning Blog

NOVEMBER 14, 2024

Core benefits of Amazon Bedrock and Amazon Location Service Amazon Bedrock provides capabilities to build generative AI applications with security, privacy, and responsible AI practices. Being serverless, it allows secure integration and deployment of generative AI capabilities without managing infrastructure.

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LLM Generative AI Prompt Engineering Machine Learning 113

AWS Machine Learning Blog

OCTOBER 16, 2024

The following were some initial challenges in automation: Language diversity – The services host both Dutch and English shows. Some local shows feature Flemish dialects, which can be difficult for some large language models (LLMs) to understand.

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Metadata Automation Generative AI AI 119

Mlearning.ai

JULY 8, 2023

Introduction Create ML Ops for LLM’s Build end to end development and deployment cycle. Add Responsible AI to LLM’s Add Abuse detection to LLM’s. High level process and flow LLM Ops is people, process and technology. LLM Ops flow — Architecture Architecture explained.

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Large Language Models LLM Prompt Engineer Prompt Engineering 52

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.

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Prompt Engineer Prompt Engineering Large Language Models Responsible AI 52

Marktechpost

JANUARY 16, 2024

Large Language Models (LLMs) signify a remarkable advance in natural language processing and artificial intelligence. These models, exemplified by their ability to understand and generate human language, have revolutionized numerous applications, from automated writing to translation.

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LLM Large Language Models Natural Language Processing Artificial Intelligence 108

Unite.AI

MARCH 15, 2024

It uses advanced AI and semantic search technologies to transform online search. Moreover, the search engine uses LLM combined with live data to answer questions and summarize information based on the top sources. AI Summaries: Provides AI generated summaries with images and videos for insights.

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AWS Machine Learning Blog

JANUARY 31, 2025

The text from the email body and PDF attachment are combined into a single prompt for the large language model (LLM). George Lee is AVP, Data Science & Generative AI Lead for International at Travelers Insurance. Text from the email is parsed. The text is then cleaned of HTML tags, if necessary.

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Prompt Engineer Prompt Engineering Data Scientist Large Language Models 99

AWS Machine Learning Blog

DECEMBER 5, 2023

This post is written in collaboration with Balaji Chandrasekaran, Jennifer Cwagenberg and Andrew Sansom and Eiman Ebrahimi from Protopia AI. New and powerful large language models (LLMs) are changing businesses rapidly, improving efficiency and effectiveness for a variety of enterprise use cases.

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LLM Generative AI AI AI 129

AWS Machine Learning Blog

DECEMBER 11, 2024

The evaluation process includes three phases: LLM-based guideline evaluation, rule-based checks, and a final evaluation. With more than a decade of experience in artificial intelligence (AI), he implements state-of-the-art AI products for AWS customers to drive innovation, efficiency and value for customer platforms.

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