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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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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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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Unite.AI

NOVEMBER 25, 2024

As AI engineers, crafting clean, efficient, and maintainable code is critical, especially when building complex systems. For AI and large language model (LLM) engineers , design patterns help build robust, scalable, and maintainable systems that handle complex workflows efficiently. loading models, data preprocessing pipelines).

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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

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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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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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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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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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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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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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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AWS Machine Learning Blog

NOVEMBER 22, 2024

In this post, we demonstrate the potential of large language model (LLM) debates using a supervised dataset with ground truth. In this LLM debate, we have two debater LLMs, each one taking one side of an argument and defending it based on the previous arguments for N(=3) rounds. The arguments are saved for a judge LLM to review.

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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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Marktechpost

JANUARY 16, 2024

The challenge lies in ensuring these AI models provide accurate, fair, and unbiased information while safeguarding privacy and adhering to ethical standards. A large team of Researchers from world-class universities, institutions, and labs have introduced a comprehensive framework, TRUST LLM.

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Unite.AI

JULY 11, 2023

The Artificial Intelligence (AI) ecosystem has evolved rapidly in the last five years, with Generative AI (GAI) leading this evolution. In fact, the Generative AI market is expected to reach $36 billion by 2028 , compared to $3.7 However, advancing in this field requires a specialized AI skillset. billion in 2023.

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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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Unite.AI

JANUARY 1, 2024

Today, Generative AI is wielding transformative power across various aspects of society. As per eMarketer , Generative AI shows early adoption with a projected 100 million or more users in the USA alone within its first four years. The Bad Despite the positive impacts, there are also challenges with the widespread use of Generative AI.

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Marktechpost

MAY 30, 2024

Google plays a crucial role in advancing AI by developing cutting-edge technologies and tools like TensorFlow, Vertex AI, and BERT. Its AI courses provide valuable knowledge and hands-on experience, helping learners build and optimize AI models, understand advanced AI concepts, and apply AI solutions to real-world problems.

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Marktechpost

APRIL 21, 2024

The following six free AI courses offer a structured pathway for beginners to start their journey into the world of artificial intelligence. Introduction to Generative AI: This course provides an introductory overview of Generative AI, explaining what it is and how it differs from traditional machine learning methods.

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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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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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Towards AI

OCTOBER 5, 2023

Last Updated on October 6, 2023 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. As generative AI becomes increasingly prevalent, the responsibility to wield its power ethically and sustainably has become a paramount concern. Join thousands of data leaders on the AI newsletter.

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Google Research AI blog

MAY 18, 2023

Posted by Lucas Dixon and Michael Terry, co-leads, PAIR, Google Research PAIR (People + AI Research) first launched in 2017 with the belief that “AI can go much further — and be more useful to all of us — if we build systems with people in mind at the start of the process.” a gingerbread house in a forest in a cartoony style").

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Unite.AI

DECEMBER 14, 2023

This can result in biased outcomes and hinder the effectiveness of LLMs on other tasks. Data contamination can negatively impact LLM performance in various ways. Various techniques are employed to identify data contamination in LLMs. Data security plays a critical role in LLMs.

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John Snow Labs

JANUARY 25, 2024

John Snow Labs , the AI for healthcare company, has completed its highest growth year in company history. Attributed to its state-of-the-art artificial intelligence (AI) models and proven customer success, the focus on generative AI has gained the company industry recognition. Monthly downloads increased by 60% since the 5.0

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IBM Journey to AI blog

OCTOBER 16, 2023

Artificial intelligence (AI) adoption is still in its early stages. As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. ” Are foundation models trustworthy?

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Unite.AI

DECEMBER 12, 2024

The Financial Services industry (FSI) is a space where AI has long been a reality, rather than a hype-cycle pipe dream. The industry is on the cusp of an AI revolution comparable to the adoption of the Internet or introduction of the smartphone. Lets first look at what made FSI a likely pioneer.

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Unite.AI

JULY 12, 2024

When ChatGPT was introduced in late 2022, it triggered an unprecedented influx of AI tools and solutions into the market. Though AI solutions have existed for some time, their rapid transformation into widely accessible consumer products has significantly changed daily life. to attain a revenue of USD 1,811,747.3

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IBM Journey to AI blog

SEPTEMBER 3, 2024

It’s just one example of one of the major challenges facing AI. For the past few years, the biggest names in AI have pushed for their tech to be used responsibly. And using AI ethically isn’t just the right thing for businesses to do—it’s also something consumers want.

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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. For details about using guardrails to safeguard your generative AI applications, refer to Stop harmful content in models using Amazon Bedrock Guardrails.

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AWS Machine Learning Blog

JULY 29, 2024

In this post, we show how native integrations between Salesforce and Amazon Web Services (AWS) enable you to Bring Your Own Large Language Models (BYO LLMs) from your AWS account to power generative artificial intelligence (AI) applications in Salesforce.

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Marktechpost

APRIL 11, 2024

DeepLearning AI offers a variety of short courses designed to boost your skills in generative AI and other AI technologies. These courses are crafted to provide learners with the right knowledge, tools, and techniques required to excel in AI.

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NVIDIA

MAY 1, 2024

Editor’s note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and which showcases new hardware, software, tools and accelerations for RTX PC users. The latest version adds support for additional LLMs, including Gemma, the latest open, local LLM trained by Google.

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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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NVIDIA

OCTOBER 2, 2024

Editor’s 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. It supports an ecosystem of applications that deliver local AI capabilities.

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