AI News

APRIL 22, 2024

Collaboration topics with LG Electronics will include integrating AI technologies into home appliances, a move that will boost Microsoft’s competitive edge against rivals like Google and Meta. These meetings are timely, as the global tech landscape sees an increased focus on AI development. billion globally.

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AI News

SEPTEMBER 19, 2024

The letter expresses frustration with the uncertainty surrounding data usage for AI model training, stemming from interventions by European Data Protection Authorities. This ambiguity, they argue, could result in Large Language Models (LLMs) lacking crucial Europe-specific training data.

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AI News

AUGUST 23, 2024

The case joins similar lawsuits against other AI companies like Microsoft and OpenAI over using copyrighted material to develop large language models. It highlights growing tensions between content creators and AI firms regarding intellectual property rights.

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AI News

FEBRUARY 2, 2024

However, Baroness Stowell of the House of Lords has cautioned that the UK risks “missing out on the AI goldrush” if it does not act quickly. A report from the Lords’ Communications and Digital Committee honed in on large language models and tools like ChatGPT.

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AI News

JULY 9, 2024

The success of Chinese AI education applications like Question.AI and Gauth in the US market comes at a time of fierce competition within China, where over 200 large language models—critical for generative AI services like ChatGPT—have been developed.

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AI News

AUGUST 2, 2024

These trends highlight the growing tension between rapid AI development and environmental sustainability in the tech sector. The root of the problem lies in AI’s immense appetite for computing power and electricity. However, these efforts are being outpaced by the breakneck speed of AI development and deployment.

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NVIDIA

MARCH 13, 2024

Editor’s note: This post is part of our AI Decoded series , which aims to demystify AI by making the technology more accessible, while showcasing new hardware, software, tools and accelerations for RTX PC and workstation users. If AI is having its iPhone moment, then chatbots are one of its first popular apps. and online.

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Snorkel AI

JANUARY 8, 2025

In todays fast-paced AI landscape, seamless integration between data platforms and AI development tools is critical. At Snorkel, weve partnered with Databricks to create a powerful synergy between their data lakehouse and our Snorkel Flow AI data development platform. Sign up here!

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Marktechpost

OCTOBER 18, 2024

Recent advancements in Large Language Models (LLMs) have reshaped the Artificial intelligence (AI)landscape, paving the way for the creation of Multimodal Large Language Models (MLLMs). If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

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AI News

MAY 3, 2024

.” Recognising the critical concern of ethical AI development, Ros stressed the significance of human oversight throughout the entire process. Explore other upcoming enterprise technology events and webinars powered by TechForge here.

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AI News

SEPTEMBER 20, 2024

Furthermore, Alibaba Cloud introduced Qwen2-VL, an updated vision language model capable of comprehending videos lasting over 20 minutes and supporting video-based question-answering. To support these AI advancements, Alibaba Cloud has announced several infrastructure upgrades, including: CUBE DC 5.0,

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AI News

JULY 9, 2024

The success of Chinese AI education applications like Question.AI and Gauth in the US market comes at a time of fierce competition within China, where over 200 large language models—critical for generative AI services like ChatGPT—have been developed.

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Marktechpost

SEPTEMBER 18, 2024

Artificial intelligence (AI) and natural language processing (NLP) have seen significant advancements in recent years, particularly in the development and deployment of large language models (LLMs). This strategy aligns with the growing trend of making AI tools more transparent and explainable.

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AI News

APRIL 17, 2024

While there is a lot of excitement around Large Language Models (LLMs), which are great for unstructured data like text, Ikigai’s patented Large Graphical Models (LGMs), developed out of MIT, are focused on solving problems using structured data.

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ODSC - Open Data Science

APRIL 2, 2025

Led by thought leaders like Sheamus McGovern, Founder of ODSC and Head of AI at Cortical Ventures, alongside Ali Hesham, a skilled Data Engineer from Ralabs, this bootcamp isnt just another courseits a launchpad for technical teams ready to take AI adoption seriously. Watch the full webinar of this topic on-demand here on Ai+ Training!

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Marktechpost

AUGUST 9, 2024

Multimodal models are designed to make human-computer interaction more intuitive and natural, enabling machines to understand and respond to human inputs in ways that closely mirror human communication. One of the main challenges in AI development is ensuring these powerful models’ safe and ethical use.

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IBM Journey to AI blog

AUGUST 19, 2024

Synthetic data , artificially generated information designed to mimic real-world scenarios, is rapidly gaining traction in AI development. NVIDIA recently announced Nemotron-4 340B , a family of open models designed to generate synthetic data for training large language models (LLMs) across various industries.

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Marktechpost

OCTOBER 18, 2024

As a result, the potential for real-time optimization of agentic systems could be improved, slowing their progress in real-world applications like code generation and software development. The lack of effective evaluation methods poses a serious problem for AI research and development.

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Snorkel AI

MARCH 4, 2025

Large language models (LLMs) have revolutionized how we interact with technology, enabling everything from AI-powered customer service to advanced research tools. However, as these models grow more powerful, they also become more unpredictable. Learn how to get more value from your PDF documents! Sign up here!

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Marktechpost

JULY 26, 2024

Fundamental Large Language Models (LLMs) such as GPT-4, Gemini, and Claude have demonstrated notable capabilities, matching or exceeding human performance. In this context, benchmarks become difficult but necessary tools for distinguishing various models and pinpointing their limitations.

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Marktechpost

AUGUST 2, 2024

Large Language Models (LLMs) have gained significant traction in various domains, revolutionizing applications from conversational agents to content generation. These models demonstrate exceptional capabilities in comprehending and producing human-like text, enabling sophisticated applications across diverse fields.

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Marktechpost

SEPTEMBER 12, 2024

OpenAI has once again pushed the boundaries of AI with the release of OpenAI Strawberry o1 , a large language model (LLM) designed specifically for complex reasoning tasks. OpenAI o1 represents a significant leap in AI’s ability to reason, think critically, and improve performance through reinforcement learning.

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Marktechpost

AUGUST 9, 2024

LG AI Research has recently announced the release of EXAONE 3.0. The release as an open-source large language model is unique to the current version with great results and 7.8B LG AI Research is driving a new development direction, marking it competitive with the latest technology trends. parameters.

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Marktechpost

JULY 23, 2024

As large language models surpass human-level capabilities, providing accurate supervision becomes increasingly difficult. Weak-to-strong learning, which uses a less capable model to enhance a stronger one, offers potential benefits but needs testing for complex reasoning tasks.

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Marktechpost

AUGUST 29, 2024

Cerebras Systems has set a new benchmark in artificial intelligence (AI) with the launch of its groundbreaking AI inference solution. The announcement offers unprecedented speed and efficiency in processing large language models (LLMs). If you like our work, you will love our newsletter.

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Marktechpost

AUGUST 22, 2024

NVIDIA has introduced Mistral-NeMo-Minitron 8B , a highly sophisticated large language model (LLM). This model continues their work in developing state-of-the-art AI technologies. The Mistral-NeMo-Minitron 8B was created using width-pruning derived from the larger Mistral NeMo 12B model.

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Snorkel AI

JANUARY 8, 2025

In todays fast-paced AI landscape, seamless integration between data platforms and AI development tools is critical. At Snorkel, weve partnered with Databricks to create a powerful synergy between their data lakehouse and our Snorkel Flow AI data development platform. Sign up here!

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Marktechpost

NOVEMBER 14, 2024

In recent years, large language models (LLMs) have become a cornerstone of AI, powering chatbots, virtual assistants, and a variety of complex applications. Despite their success, a significant problem has emerged: the plateauing of the scaling laws that have historically driven model advancements.

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Marktechpost

AUGUST 6, 2024

The introduction of Sphynx aims to enhance the robustness and reliability of hallucination detection models through dynamic testing and fuzzing techniques. Hallucinations represent a significant issue in large language models (LLMs). If you like our work, you will love our newsletter.

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Marktechpost

AUGUST 9, 2024

LiveBench AI’s user-friendly interface allows seamless integration into existing workflows. The platform is designed to be accessible to novice and experienced AI practitioners, making it a versatile tool for many users. LiveBench AI addresses the critical challenges faced by AI developers today.

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Marktechpost

NOVEMBER 14, 2024

This library uses large language models (LLMs) to power its multi-agent systems, making the simulated agents more adaptable and responsive to their environment. TinyTroupe was designed to go beyond traditional methods, leveraging the context-rich responses that LLMs provide to create more nuanced interactions between agents.

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Marktechpost

SEPTEMBER 23, 2024

OpenAI’s decision to introduce the MMMLU dataset addresses this challenge by offering a robust, multilingual, and multitask dataset designed to assess the performance of large language models (LLMs) on various tasks. This allows for a more granular understanding of a model’s strengths and weaknesses across different domains.

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Marktechpost

JULY 31, 2024

In AI, developing language models that can efficiently and accurately perform diverse tasks while ensuring user privacy and ethical considerations is a significant challenge. These models must handle various data types and applications without compromising performance or security. Check out the Paper.

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Marktechpost

OCTOBER 21, 2024

As large language models (LLMs) become increasingly capable and better day by day, their safety has become a critical topic for research. To create a safe model, model providers usually pre-define a policy or a set of rules. In various cases, a standard one-size-fits-all safe model is too restrictive to be helpful.

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Marktechpost

AUGUST 24, 2024

Artificial intelligence (AI) development, particularly in large language models (LLMs), focuses on aligning these models with human preferences to enhance their effectiveness and safety. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

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Marktechpost

OCTOBER 27, 2024

Large language models (LLMs) have transformed fields ranging from customer service to medical assistance by aligning machine output with human values. Reward models (RMs) play an important role in this alignment, essentially serving as a feedback loop where models are guided to provide human-preferred responses.

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NVIDIA

OCTOBER 18, 2023

Powerful generative AI models and cloud-native APIs and microservices are coming to the edge. Generative AI is bringing the power of transformer models and large language models to virtually every industry. Independent software vendor partners will also be able to expand their offerings for Jetson.

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