Unite.AI

OCTOBER 20, 2023

AI models in production. Today, seven in 10 companies are experimenting with generative AI, meaning that the number of AI models in production will skyrocket over the coming years. As a result, industry discussions around responsible AI have taken on greater urgency.

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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

JANUARY 3, 2024

It is not inconceivable that individuals would go to a popular search engine with an embedded AI agent and query, “ My dad can’t afford the heart medication that was prescribed to him anymore. How can we proactively invest in AI for more equitable and trustworthy outcomes?

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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. What Are Large Language Models? LLMs have gained significant popularity and are widely used in various applications, including natural language processing and machine translation.

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AI News

FEBRUARY 20, 2024

In a bid to accelerate the adoption of AI in the enterprise sector, Wipro has unveiled its latest offering that leverages the capabilities of IBM’s watsonx AI and data platform. The extended partnership between Wipro and IBM combines the former’s extensive industry expertise with IBM’s leading AI innovations.

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AI News

FEBRUARY 2, 2024

Andrew Bailey, Governor of the Bank of England , has rebutted fears that AI will lead to widespread unemployment. Bailey’s comments come as the latest economic assessment shows that UK businesses investing in AI are expected to see gains in efficiency and output. Economies adapt, jobs adapt, and we learn to work with it.

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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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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. This is where unlearning becomes essential. Accountability is another pressing concern.

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AI News

APRIL 19, 2024

Meta has introduced Llama 3 , the next generation of its state-of-the-art open source large language model (LLM). The tech giant claims Llama 3 establishes new performance benchmarks, surpassing previous industry-leading models like GPT-3.5 in real-world scenarios.

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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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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. About REAL AI B.V.

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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. Caveats and need for Responsible AI Now what if we have a tool that invokes transactions on stock trading using a pre-authorized API.

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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. The AI industry reached an important milestone this week with the publication of ISO 42001.

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Marktechpost

OCTOBER 25, 2024

Modern AI models excel in text generation, image understanding, and even creating visual content, but speech—the primary medium of human communication—presents unique hurdles. 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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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

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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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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AssemblyAI

MAY 23, 2023

The widespread use of ChatGPT has led to millions embracing Conversational AI tools in their daily routines. ChatGPT is part of a group of AI systems called Large Language Models (LLMs) , which excel in various cognitive tasks involving natural language.

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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. In conclusion, Weight Averaged Reward Models (WARM) offer a promising solution to challenges in reward modeling, enhancing alignment in RLHF.

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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. But more than MLOps is needed for a new type of ML model called Large Language Models (LLMs).

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AWS Machine Learning Blog

NOVEMBER 29, 2023

The rapid growth of generative AI brings promising new innovation, and at the same time raises new challenges. 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.

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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. What are Large Language Models and Why are They Important? Google's MUM model uses VATT transformer to produce entity-aware BERT embeddings.

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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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John Snow Labs

SEPTEMBER 24, 2024

Builders and buyers of AI systems are required to test and show that their systems comply with legislation – on safety, discrimination, privacy, transparency, and accountability. This talk covers recent regulation in this space, limitations that current Generative AI models have, and an automated testing framework that mitigates them.

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AI News

APRIL 24, 2024

. “What we’re going to start to see is not a shift from large to small, but a shift from a singular category of models to a portfolio of models where customers get the ability to make a decision on what is the best model for their scenario,” said Sonali Yadav, Principal Product Manager for Generative AI at Microsoft.

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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.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

The risks associated with generative AI have been well-publicized. Research shows that not only do risks for bias and toxicity transfer from pre-trained foundation models (FM) to task-specific generative AI services, but that tuning an FM for specific tasks, on incremental datasets, introduces new and possibly greater risks.

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Marktechpost

JUNE 17, 2024

For example, a model might retrieve images that match a search query exactly but lack aesthetic appeal or even provide harmful results that violate the principles of responsible AI. Existing benchmarks for retrieval systems often need to pay more attention to evaluating aesthetics and accountable AI.

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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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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. Our Cyber Week Deal is now live!

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IBM Journey to AI blog

OCTOBER 9, 2024

We are now at a crucial stage in our evolution with enterprise generative AI. While consumer generative AI has captured the imagination of millions, executives are developing the practices that can deliver an effective and responsible strategy for enterprise generative AI. IBM® is in a unique position to help.

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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. Because of this, LLMs have a wide range of potential applications, including in the fields of natural language processing, machine translation, and text generation. It was trained on web-scale multimodal corpora, including text and images.

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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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Marktechpost

AUGUST 9, 2024

One of the main challenges in AI development is ensuring these powerful models’ safe and ethical use. As AI systems become more sophisticated, the risks associated with their misuse—such as spreading misinformation, reinforcing biases, and generating harmful content—increase. Check out the Paper and Details.

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IBM Journey to AI blog

JULY 26, 2023

AI tools like ChatGPT are grabbing headlines, but other AI techniques and tools specifically designed for enterprises are quietly helping companies meet their sustainability goals. Classic AI is already being used widely today in various use cases, and generative AI is evolving rapidly to address new classes of use cases.

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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. The well-known Large Language Models (LLMs), which have recently gathered massive attention, are the best examples of generative AI.

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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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