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

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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AWS Machine Learning Blog

FEBRUARY 21, 2025

Similar to how a customer service team maintains a bank of carefully crafted answers to frequently asked questions (FAQs), our solution first checks if a users question matches curated and verified responses before letting the LLM generate a new answer. No LLM invocation needed, response in less than 1 second.

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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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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. Download ChatRTX today.

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Unite.AI

JANUARY 29, 2025

That analogy sums up todays enterprise AI landscape. 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.

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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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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. What is Nemo Guardrails?

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AWS Machine Learning Blog

FEBRUARY 12, 2025

This combination makes achieving low latency a challenge for use cases such as real-time text completion, simultaneous translation, or conversational voice assistants, where subsecond response times are critical. With Medusa-1, the predictions are identical to those of the originally fine-tuned LLM. In this post, we focus on Medusa-1.

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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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Unite.AI

MARCH 10, 2025

Even in a rapidly evolving sector such as Artificial Intelligence (AI), the emergence of DeepSeek has sent shock waves, compelling business leaders to reassess their AI strategies. However, achieving meaningful impact requires a structured approach to AI adoption, with a clear focus on high-value use cases.

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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.

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Unite.AI

FEBRUARY 6, 2025

AI and machine learning (ML) are reshaping industries and unlocking new opportunities at an incredible pace. There are countless routes to becoming an artificial intelligence (AI) expert, and each persons journey will be shaped by unique experiences, setbacks, and growth. The legal considerations of AI are a given.

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AI News

MARCH 7, 2024

If a week is traditionally a long time in politics, it is a yawning chasm when it comes to AI. But are the ethical implications of AI technology being left behind by this fast pace? Stability AI, in previewing Stable Diffusion 3, noted that the company believed in safe, responsible AI practices.

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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 17, 2025

A retail category planner who previously did hours-long analysis of past weeks reports to try to uncover insights into which products are underperforming, and why, now uses AI to provide deep-dive insights that surface problem areas and suggest corrective actions, prioritized for maximum business impact.

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AI News

MARCH 1, 2024

Founded in 2015 as a nonprofit AI research lab, OpenAI transitioned into a commercial entity in 2020. Musk, who has long voiced concerns about the risks posed by AI, has called for robust government regulation and responsible AI development.

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Unite.AI

FEBRUARY 7, 2024

This is why Machine Learning Operations (MLOps) has emerged as a paradigm to offer scalable and measurable values to Artificial Intelligence (AI) driven businesses. In addition, LLMOps provides techniques to improve the data quality, diversity, and relevance and the data ethics, fairness, and accountability of LLMs.

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AWS Machine Learning Blog

OCTOBER 16, 2024

This post shows how DPG Media introduced AI-powered processes using Amazon Bedrock and Amazon Transcribe into its video publication pipelines in just 4 weeks, as an evolution towards more automated annotation systems. Video data analysis with AI wasn’t required for generating detailed, accurate, and high-quality metadata.

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Metadata Automation Generative AI AI 119

AWS Machine Learning Blog

NOVEMBER 14, 2024

This is where AWS and generative AI can revolutionize the way we plan and prepare for our next adventure. With the significant developments in the field of generative AI , intelligent applications powered by foundation models (FMs) can help users map out an itinerary through an intuitive natural conversation interface.

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Unite.AI

MARCH 15, 2024

Consequently, AI search engines are stepping onto the scene as a revolutionary answer. They introduce cutting-edge features like AI reverse and product searches to offer more profound, meaningful insights. Accordingly, these new AI search engines have markedly improved the user experience.

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AWS Machine Learning Blog

NOVEMBER 7, 2024

While organizations continue to discover the powerful applications of generative AI , adoption is often slowed down by team silos and bespoke workflows. To move faster, enterprises need robust operating models and a holistic approach that simplifies the generative AI lifecycle. Generative AI gateway Shared components lie in this part.

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AWS Machine Learning Blog

OCTOBER 31, 2024

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more.

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AWS Machine Learning Blog

NOVEMBER 26, 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, Mistral AI, Stability AI, and Amazon through a single API. The following screenshot shows the response. You can try out something harder as well.

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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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Unite.AI

SEPTEMBER 18, 2024

As we navigate this, a new generation of LLMs has emerged, each pushing the boundaries of what's possible in AI. These scores often surpass those of other leading models, including GPT-4 and Google's Gemini Ultra, positioning Claude 3 as a top contender in the AI landscape. GSM8K (Grade School Math 8K): 94.9% Visit Claude 3 → 2.

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Unite.AI

DECEMBER 1, 2023

Machine learning , a subset of AI, involves three components: algorithms, training data, and the resulting model. This obscurity makes it challenging to understand the AI's decision-making process. AI black boxes are systems whose internal workings remain opaque or invisible to users. Impact of the LLM Black Box Problem 1.

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AWS Machine Learning Blog

JANUARY 28, 2025

In production generative AI applications, responsiveness is just as important as the intelligence behind the model. In interactive AI applications, delayed responses can break the natural flow of conversation, diminish user engagement, and ultimately affect the adoption of AI-powered solutions.

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Unite.AI

JULY 4, 2024

Google Open Source LLM Gemma In this comprehensive guide, we'll explore Gemma 2 in depth, examining its architecture, key features, and practical applications. Google AI Studio For quick experimentation without hardware requirements, you can access Gemma 2 through Google AI Studio.

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Marktechpost

JULY 2, 2024

The primary goal is to prevent LLMs from engaging in unsafe or inappropriate user requests. Current methodologies face challenges in comprehensively evaluating LLM safety, including aspects such as toxicity, harmfulness, trustworthiness, and refusal behaviors. Results showed that fine-tuned smaller-scale LLMs (e.g.,

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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 The instruction-tuned Llama 3.1-405B,

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AWS Machine Learning Blog

DECEMBER 11, 2024

In this post, we illustrate how EBSCOlearning partnered with AWS Generative AI Innovation Center (GenAIIC) to use the power of generative AI in revolutionizing their learning assessment process. As EBSCOlearnings content library continues to grow, so does the need for a more efficient solution. Sonnet in Amazon Bedrock.

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AWS Machine Learning Blog

MARCH 6, 2025

As businesses increasingly rely on AI-powered solutions, the need for accurate, context-aware, and tailored responses has never been more critical. Enter the powerful trio of Amazon Bedrock , LlamaIndex , and RAGAS a cutting-edge combination thats set to redefine the evaluation and optimization of RAG responses.

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Flipboard

JANUARY 22, 2025

Amazon Bedrock Flows offers an intuitive visual builder and a set of APIs to seamlessly link foundation models (FMs), Amazon Bedrock features, and AWS services to build and automate user-defined generative AI workflows at scale. Amazon Bedrock Agents offers a fully managed solution for creating, deploying, and scaling AI agents on AWS.

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AWS Machine Learning Blog

MARCH 14, 2025

Organizations building and deploying AI applications, particularly those using large language models (LLMs) with Retrieval Augmented Generation (RAG) systems, face a significant challenge: how to evaluate AI outputs effectively throughout the application lifecycle.

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AWS Machine Learning Blog

MARCH 5, 2025

Generative AI question-answering applications are pushing the boundaries of enterprise productivity. These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques.

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AWS Machine Learning Blog

OCTOBER 17, 2023

To tackle this challenge, Amazon Pharmacy built a generative AI question and answering (Q&A) chatbot assistant to empower agents to retrieve information with natural language searches in real time, while preserving the human interaction with customers. Finally, we describe the product architecture.

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