Marktechpost

SEPTEMBER 8, 2024

The competition to develop the most advanced Large Language Models (LLMs) has seen major advancements, with the four AI giants, OpenAI, Meta, Anthropic, and Google DeepMind, at the forefront. These LLMs are reshaping industries and significantly impacting the AI-powered applications we use daily, such as virtual assistants, customer support chatbots, and translation services.

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Large Language Models LLM AI AI 143

Ehud Reiter

SEPTEMBER 8, 2024

Last week I ran a one-day class on NLG evaluation for IBM in Dublin. It covered many topics at a fairly high level. The overall goal was to give people more insights about different types of evaluation and what goes wrong in evaluations; hopefully this will both help people do better evaluations themselves, and also be more critical of weak evaluations in published papers.

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NLP LLM Computational Linguistics Prompt Engineer 141

Artificial Lawyer

SEPTEMBER 8, 2024

Which tech tools are the lawyers in your firm using most; what are they using them for; and what good is it doing?

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AI AI 123

Marktechpost

SEPTEMBER 8, 2024

Large Language Models (LLMs), initially limited to text-based processing, faced significant challenges in comprehending visual data. This limitation led to the development of Visual Language Models (VLMs), which integrate visual understanding with language processing. Early models like VisualGLM, built on architectures such as BLIP-2 and ChatGLM-6B, represented initial efforts in multi-modal integration.

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Large Language Models ML AI AI 122

Speaker: Kevin Burke

AI is reshaping marketing and sales, empowering professionals to work smarter, faster, and more effectively. This webinar will provide a practical introduction to AI, focusing on its current applications, transformative potential, and strategies for successful implementation in your organization. Using real-world examples and actionable insights, we’ll examine how businesses are leveraging AI to increase efficiency, enhance personalization, and drive measurable results.

AI

Towards AI

SEPTEMBER 8, 2024

Author(s): Souradip Pal Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Imagine sifting through rows of data in a spreadsheet packed with numbers that look impressive at first glance. But when you try to analyze them, the digits feel like a maze, hard to interpret and even harder to draw conclusions from.

Categorization 105

Categorization AI AI Data Science 105

Towards AI

SEPTEMBER 8, 2024

Last Updated on September 8, 2024 by Editorial Team Author(s): Souradip Pal Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. A girl looking at a screen containing mixed variables. Source: Image generated by Dall-E Imagine you’re working on a brand-new data project, the kind that makes your hands twitch with excitement.

Machine Learning 105

Machine Learning AI AI Data Science 105

Marktechpost

SEPTEMBER 8, 2024

Neural Architecture Search (NAS) has emerged as a powerful tool for automating the design of neural network architectures, providing a clear advantage over manual design methods. It significantly reduces the time and expert effort required in architecture development. However, traditional NAS faces significant challenges as it depends on extensive computational resources, particularly GPUs, to navigate large search spaces and identify optimal architectures.

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Neural Network Automation ML AI 113

Robot Writers AI

SEPTEMBER 8, 2024

ChatGPT-Maker Mulls New $2,000/Month Rate Is the party over for everyday users of ChatGPT? Tech pub The Information reports that the maker of ChatGPT — OpenAI — is mulling plans to jack-up the price of future versions of the wonder-bot to as much as $2,000/month. Currently, a basic subscription to ChatGPT costs $20/month. Observes a story by Thomson Reuters: “The reported pricing discussions come after media reports said Apple and chip giant Nvidia were in talks to invest in Op

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Artificial Intelligence Artificial Intelligence ChatGPT Large Language Models 59

Marktechpost

SEPTEMBER 8, 2024

Large language models (LLMs) have revolutionized natural language processing (NLP), particularly for English and other data-rich languages. However, this rapid advancement has created a significant development gap for underrepresented languages, with Cantonese being a prime example. Despite being spoken by over 85 million people and holding economic importance in regions like the Guangdong-Hong Kong-Macau Greater Bay Area, Singapore, and North America, Cantonese remains severely underrepresented

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Large Language Models NLP Neural Network Data Scarcity 103

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Ready to cut through the AI hype and learn exactly how to use these tools in your legal work? Join this webinar to get practical guidance from attorney and AI legal expert, Joe Stephens, who understands what really matters for legal professionals! What You'll Learn: Evaluate AI Tools Like a Pro 🔍 Learn which tools are worth your time and how to spot potential security risks before they become problems.

AI

Machine Learning Research at Apple

SEPTEMBER 8, 2024

Generating user intent from a sequence of user interface (UI) actions is a core challenge in comprehensive UI understanding. Recent advancements in multimodal large language models (MLLMs) have led to substantial progress in this area, but their demands for extensive model parameters, computing power, and high latency makes them impractical for scenarios requiring lightweight, on-device solutions with low latency or heightened privacy.

Large Language Models 52

Large Language Models 52

Marktechpost

SEPTEMBER 8, 2024

Adapting 2D-based segmentation models to effectively process and segment 3D data presents a significant challenge in the field of computer vision. Traditional approaches often struggle to preserve the inherent spatial relationships in 3D data, leading to inaccuracies in segmentation. This challenge is critical for advancing applications like autonomous driving, robotics, and virtual reality, where a precise understanding of complex 3D environments is essential.

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Computer Vision Robotics AI Research AI Researcher 103

Bugra Akyildiz

SEPTEMBER 8, 2024

Articles LLama3 paper from Meta is a long paper(only 92 pages), but covers a variety of different topics when it comes to train large models. There are a number of learnings for reliability and scalability challenges of these models as outlined in the table 5 of the above paper: Reliability and Scalability Challenges in Training Llama 3 The development and training of Llama 3, particularly the 405B parameter model, presented significant reliability and scalability challenges.

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LLM Large Language Models Neural Network Deep Learning 52

Marktechpost

SEPTEMBER 8, 2024

GNNs have excelled in analyzing structured data but face challenges with dynamic, temporal graphs. Traditional forecasting, often used in fields like economics and biology, relied on statistical models for time-series data. Deep learning, particularly GNNs, shifted focus to non-Euclidean data like social and biological networks. However, applying GNNs to dynamic graphs, where relationships constantly evolve, still needs to be improved.

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Neural Network Deep Learning Machine Learning ML 62

Speaker: Carolyn Clark and Miriam Connaughton

Forget predictions, let’s focus on priorities for the year and explore how to supercharge your employee experience. Join Miriam Connaughton and Carolyn Clark as they discuss key HR trends for 2025—and how to turn them into actionable strategies for your organization. In this dynamic webinar, our esteemed speakers will share expert insights and practical tips to help your employee experience adapt and thrive.

AI

TheSequence

SEPTEMBER 8, 2024

Created Using Ideogram Next Week in The Sequence: Edge 429: Our series about state space models(SSMs) continues with an exploration of MambaByte including its original paper. We also discuss the MindsDB platform for building AI systems. Edge 430: We dive into The AI Scientist, an agent for scientific experimentation. You can subscribe to The Sequence below: TheSequence is a reader-supported publication.

AI 52

AI AI Large Language Models LLM 52

Marktechpost

SEPTEMBER 8, 2024

Microsoft addresses the complex challenges of integrating geospatial data into machine learning workflows. Working with such data is difficult due to its heterogeneity, coming in multiple formats and varying resolutions, and its complexity, involving features like occlusions, scale variations, and atmospheric interference. Additionally, geospatial datasets are large and computationally expensive to process, while a lack of standardized tools has historically hindered research and development in

Machine Learning 62

Machine Learning Data Analysis Artificial Intelligence Artificial Intelligence 62

Marktechpost

SEPTEMBER 8, 2024

LLMs like GPT-4, MedPaLM-2, and Med-Gemini perform well on medical benchmarks but need help to replicate physicians’ diagnostic abilities. Unlike doctors who gather patient information through structured questioning and examinations, LLMs often need more logical consistency and specialized knowledge, leading to inadequate diagnostic reasoning.

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LLM ML Large Language Models AI 57

Marktechpost

SEPTEMBER 8, 2024

Together AI has introduced a groundbreaking technique known as TEAL ( T raining-Fre e A ctivation Sparsity in L LMs) that has the potential to advance the field of efficient machine learning model inference significantly. The company, a leader in open-source AI models, has been exploring innovative ways to optimize model performance, especially in environments with limited memory resources.

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Large Language Models LLM AI AI 57

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Get ready to uncover what attorneys really need from you when it comes to trial prep in this new webinar! Attorney and law professor, Joe Stephens, J.D., will share proven techniques for anticipating attorney needs, organizing critical documents, and transforming complex information into compelling case presentations. Key Learning Objectives: Organization That Makes Sense 🎯 Learn how to structure and organize case materials in ways that align with how attorneys actually work and think.

Marktechpost

SEPTEMBER 8, 2024

Introduction to EXAONE 3.0: The Vision and Objectives EXAONE 3.0 represents a significant milestone in the evolution of language models developed by LG AI Research , particularly within Expert AI. The name “ EXAONE ” derives from “ EX pert A I for Every ONE ,” encapsulating LG AI Research ‘s commitment to democratizing access to expert-level artificial intelligence capabilities.

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AI Research AI Researcher Large Language Models LLM 117