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 272

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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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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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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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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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 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 122

John Snow Labs

MARCH 20, 2025

Rather than simple knowledge recall with traditional LLMs to mimic reasoning [ 1 , 2 ], these models represent a significant advancement in AI-driven medical problem solving with systems that can meaningfully assist healthcare professionals in complex diagnostic, operational, and planning decisions. for the 14B model).

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LLM Large Language Models Explainability Responsible AI 69

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 167

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 159

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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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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Marktechpost

NOVEMBER 23, 2023

During Data Science Conference 2023 in Belgrade on Thursday, 23 November, it was announced that Real AI won the ISCRA project. Real AI is chosen to build Europe’s first-ever Human-Centered LLM on the world’s 4th largest AI Computer Cluster ‘LEONARDO’. – Tarry Singh , CEO of Real AI B.V.

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Large Language Models LLM AI AI 122

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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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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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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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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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 123

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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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

AWS Machine Learning Blog

JUNE 18, 2024

Traditional neural network models like RNNs and LSTMs and more modern transformer-based models like BERT for NER require costly fine-tuning on labeled data for every custom entity type. By using the model’s broad linguistic understanding, you can perform NER on the fly for any specified entity type.

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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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Unite.AI

JULY 26, 2024

As the adoption of artificial intelligence (AI) accelerates, large language models (LLMs) serve a significant need across different domains. The two latest examples are Open AI’s ChatGPT-4 and Meta’s latest Llama 3. As LLMs evolve, they will likely become more context-aware, multimodal, and energy-efficient.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

Amazon SageMaker Clarify now provides AWS customers with foundation model (FM) evaluations, a set of capabilities designed to evaluate and compare model quality and responsibility metrics for any LLM, in minutes. You can use FMEval to evaluate AWS-hosted LLMs such as Amazon Bedrock, Jumpstart and other SageMaker models.

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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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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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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 107

Flipboard

DECEMBER 3, 2024

Now, Syngenta is advancing further by using large language models (LLMs) and Amazon Bedrock Agents to implement Cropwise AI on AWS, marking a new era in agricultural technology. In this post, we discuss Syngenta’s journey in developing Cropwise AI.

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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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AWS Machine Learning Blog

APRIL 11, 2025

Although data safety is a key requirement, there are many other factors to take into account, such as responsible AI. Large language models (LLMs) can generate incorrect information due to hallucinations. APE (automated post-edit) An LLM is employed to edit, improve, and correct machine-translated content.

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Automation LLM Generative AI Responsible AI 104

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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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

ODSC - Open Data Science

MAY 11, 2023

The latest wave of innovation around large language models (LLMs), such as ChatGPT and GPT-4, is rapidly transforming the world of bot building. This is something that Microsoft has worked to address, by creating responsible AI by design.

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Large Language Models Chatbots Data Science Natural Language Processing 96

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 Engineer Prompt Engineering 110

ODSC - Open Data Science

APRIL 4, 2025

Attendees will learn about mapping cognitive processes to enhance the interpretability and usability of AI systems in visual data analysis. GenAI at Scale: Building and Measuring Responsible AI Solutions As generative AI scales, ensuring responsibility becomes paramount.

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