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.

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IBM Journey to AI blog

MAY 31, 2024

However, the latest CEO Study by the IBM Institute for the Business Value found that 72% of the surveyed government leaders say that the potential productivity gains from AI and automation are so great that they must accept significant risk to stay competitive. What’s next?

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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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Marktechpost

OCTOBER 25, 2024

In the evolving landscape of artificial intelligence, one of the most persistent challenges has been bridging the gap between machines and human-like interaction. Zhipu AI recently released GLM-4-Voice, an open-source end-to-end speech large language model designed to address these limitations.

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Marktechpost

JUNE 8, 2024

They emphasize practical applications, advanced techniques, and responsible AI practices, equipping learners to develop and deploy AI solutions ethically and effectively. This article lists the top Microsoft AI courses that provide essential skills for excelling in the field of artificial intelligence.

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Marktechpost

MAY 30, 2024

Introduction to Generative AI This introductory microlearning course explains Generative AI, its applications, and its differences from traditional machine learning. It also includes guidance on using Google Tools to develop your own Generative AI applications. It also introduces Google’s 7 AI principles.

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Marktechpost

JUNE 19, 2024

Introduction to Generative AI Learning Path Specialization This course offers a comprehensive introduction to generative AI, covering large language models (LLMs), their applications, and ethical considerations. The learning path comprises three courses: Generative AI, Large Language Models, and Responsible AI.

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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. As LLMs become integral to AI applications, ethical considerations take center stage.

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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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AWS Machine Learning Blog

DECEMBER 18, 2023

Artificial intelligence (AI) is one of the most transformational technologies of our generation and provides opportunities to be a force for good and drive economic growth. It establishes a framework for organizations to systematically address and control the risks related to the development and deployment of AI.

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Marktechpost

NOVEMBER 15, 2023

Microsoft has unveiled a significant expansion of its Azure AI Model Catalog , incorporating a range of foundation and generative AI models. This move marks a major advancement in the field of artificial intelligence, bringing together diverse and innovative technologies.

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Marktechpost

NOVEMBER 23, 2023

REAL AI’s unique opportunity- “We aim to provide Europe’s answer to responsible AI development. Together with UNINA and AI supercomputer cluster ‘Leonardo’, we can make this possible”. – Tarry Singh , CEO of Real AI B.V. For more information on Real AI B.V.,

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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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IBM Journey to AI blog

JANUARY 3, 2024

Empower domain experts to curate and maintain trusted sources of data that are used to train models. These trusted sources of data can offer content grounding for products that use large language models (LLMs) to provide variations on language for answers that come directly from a trusted source (like an ontology or semantic search).

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Heartbeat

OCTOBER 12, 2023

Large language models have been game-changers in artificial intelligence, but the world is much more than just text. These language models are breaking boundaries, venturing into a new era of AI — Multi-Modal Learning. However, the influence of large language models extends beyond text alone.

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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. It can translate multiple languages, generate unique and creative user-specific content, summarize long text paragraphs, etc. What is prompt engineering?

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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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ODSC - Open Data Science

NOVEMBER 30, 2023

Feature Store Architecture, the Year of Large Language Models, and the Top Virtual ODSC West 2023 Sessions to Watch Feature Store Architecture and How to Build One Learn about the Feature Store Architecture and dive deep into advanced concepts and best practices for building a feature store.

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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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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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Flipboard

AUGUST 6, 2023

Jupyter AI, an official subproject of Project Jupyter, brings generative artificial intelligence to Jupyter notebooks. It allows users to explain and generate code, fix errors, summarize content, and even generate entire notebooks from natural language prompts. Check out the GitHub and Reference Article.

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Marktechpost

DECEMBER 6, 2023

Google’s latest venture into artificial intelligence, Gemini, represents a significant leap forward in AI technology. Unveiled as an AI model of remarkable capability, Gemini is a testament to Google’s ongoing commitment to AI-first strategies, a journey that has spanned nearly eight years.

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Marktechpost

JANUARY 26, 2024

In recent times, Large Language Models (LLMs) have gained popularity for their ability to respond to user queries in a more human-like manner, accomplished through reinforcement learning. If you like our work, you will love our newsletter.

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Unite.AI

OCTOBER 23, 2024

The rapid development of Large Language Models (LLMs) has brought about significant advancements in artificial intelligence (AI). However, as these models expand in use, so do concerns over privacy and data security.

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ODSC - Open Data Science

FEBRUARY 15, 2024

Large language models have taken the world by storm, offering impressive capabilities in natural language processing. However, while these models are powerful, they can often benefit from fine-tuning or additional training to optimize performance for specific tasks or domains.

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Marktechpost

NOVEMBER 6, 2023

In an industry where innovation is both rapid and revolutionary, OpenAI has yet again pushed the boundaries of what artificial intelligence can achieve with the introduction of GPT-4 Turbo, a more potent and customizable iteration of its widely-acclaimed language model.

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Marktechpost

JANUARY 17, 2024

Artificial intelligence (AI) systems are expanding and advancing at a significant pace. The two main categories into which AI systems have been divided are Predictive AI and Generative AI. While Generative AI creates original content, Predictive AI concentrates on making predictions using data.

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ODSC - Open Data Science

JANUARY 31, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI. As time goes on, even more platforms or upgrades to existing products will come.

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AWS Machine Learning Blog

NOVEMBER 29, 2023

These challenges include some that were common before generative AI, such as bias and explainability, and new ones unique to foundation models (FMs), including hallucination and toxicity. Guardrails drive consistency in how FMs on Amazon Bedrock respond to undesirable and harmful content within applications.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

You can directly use the FMEval wherever you run your workloads, as a Python package or via the open-source code repository, which is made available in GitHub for transparency and as a contribution to the Responsible AI community. FMEval allows you to upload your own prompt datasets and algorithms.

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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. MLOps make ML models faster, safer, and more reliable in production. MLOps make ML models faster, safer, and more reliable in production.

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John Snow Labs

NOVEMBER 1, 2023

Gender-Occupational Stereotypes in LLMs Introduction In the realm of artificial intelligence and natural language processing, addressing bias and stereotypes is now a pressing concern. Language models, celebrated for their linguistic prowess, have faced scrutiny for perpetuating gender and occupational stereotypes.

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ODSC - Open Data Science

AUGUST 10, 2023

Stability AI Has Released Stable Beluga 1 and Stable Beluga 2 New Open-Access LLMs Stability AI introduced to the world Stable Beluga 1 and Stable Beluga 2 — a pair of open-access large language models. Build your skills and explore different learning paths at ODSC West’s 4-day Mini-Bootcamp.

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AI News

APRIL 29, 2024

However, OpenAI has openly admitted that it cannot correct incorrect information generated by ChatGPT or disclose the sources of the data used to train the model. “Factual accuracy in large language models remains an area of active research,” OpenAI has argued.

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ODSC - Open Data Science

AUGUST 8, 2024

The new Automated Responsible AI Testing Capabilities in the Generative AI Lab empower non-technical domain experts to define, run, and share test suites for AI model bias, fairness, robustness, and accuracy.

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IBM Journey to AI blog

OCTOBER 30, 2024

Large language models (LLMs) are becoming an integral part of a risk and compliance program, and they require little to no training. These components are built on top of IBM’s leading AI technology, and they can be deployed on any cloud and on prem.

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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. AI will change every aspect of our lives,” said Volkmar Denner, then-CEO of Bosch at the time.

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