AI News

NOVEMBER 28, 2024

OpenAI and other leading AI companies are developing new training techniques to overcome limitations of current methods. The reported advances may influence the types or quantities of resources AI companies need continuously, including specialised hardware and energy to aid the development of AI models.

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Marktechpost

MARCH 24, 2024

Researchers are considering the fusion of large language models (LLMs) with AI agents as a significant leap forward in AI. However, complexities are involved in developing and evaluating new reasoning strategies and agent architectures for LLM agents due to the intricacy of existing frameworks.

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Marktechpost

APRIL 25, 2024

Snowflake AI Research has launched the Arctic , a cutting-edge open-source large language model (LLM) specifically designed for enterprise AI applications, setting a new standard for cost-effectiveness and accessibility. The Arctic Base provides a solid foundation for general AI tasks, suitable for most enterprise needs.

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Marktechpost

OCTOBER 13, 2024

Researchers from the University of Notre Dame and Salesforce AI introduce an innovative framework that scales up inference-time computation by generating multiple reasoning paths for complex tasks. All credit for this research goes to the researchers of this project. Check out the Paper.

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Marktechpost

MARCH 1, 2024

However, LLMs designed to maximize human preference can display sycophantic behavior, meaning they will give answers that match what the user thinks is right, even if that perspective isn’t correct. The LLM performs a classification task in response to a user prompt at the initial turn of the discussion.

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Unite.AI

FEBRUARY 15, 2024

Ramprakash Ramamoorthy, is the Head of AI Research at ManageEngine , the enterprise IT management division of Zoho Corp. As the director of AI Research at Zoho & ManageEngine, what does your average workday look like? Together, we build and enhance our AI stack, which forms the backbone of our services.

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IBM Journey to AI blog

JANUARY 11, 2024

Overcoming the limitations of generative AI We’ve seen numerous hypes around generative AI (or GenAI) lately due to the widespread availability of large language models (LLMs) like ChatGPT and consumer-grade visual AI image generators. There are similar issues in trusting a chatbot AI to code a business application.

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AI Weekly

APRIL 25, 2024

Powered by rws.com In the News 80% of AI decision makers are worried about data privacy and security Organisations are hitting stumbling blocks in four key areas of AI implementation: Increasing trust, Integrating GenAI, Talent and skills, Predicting costs. Planning a GenAI or LLM project?

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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

OCTOBER 9, 2023

In the ongoing effort to make AI more like humans, OpenAI's GPT models have continually pushed the boundaries. Multimodality in generative AI denotes a model's capability to produce varied outputs like text, images, or audio based on the input. Progress in voice, video, and text AI capabilities is propelling multimodal AI's growth.

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Marktechpost

OCTOBER 15, 2024

The key innovation in PAVs is using a “prover policy,” distinct from the base policy that the LLM is following. This enables the LLM to explore a wider range of potential solutions, even when early steps do not immediately lead to a correct solution. All credit for this research goes to the researchers of this project.

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Marktechpost

OCTOBER 17, 2024

These limitations call for a methodology that can adapt LLMs efficiently without extensive tuning or restrictive assumptions, especially in low-data settings. The research demonstrated superior results for both single-task adaptation and multi-task domains.

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Marktechpost

SEPTEMBER 24, 2023

Their approach is straightforward, starting with a 7-billion-parameter Large Language Model (LLM) architecture sourced from LLaMa 2 [25] and initializing it from scratch. The post Large Language Models Surprise Meta AI Researchers at Compiler Optimization! If you like our work, you will love our newsletter.

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Large Language Models AI Researcher AI Research LLM 139

Unite.AI

JANUARY 15, 2024

Generative AI , such as large language models (LLMs) like ChatGPT, is experiencing unprecedented growth, as showcased in a recent survey by McKinsey Global. However, the expansive benefits of generative AI are accompanied by significant financial and environmental challenges. miles in an average car.

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Marktechpost

MARCH 3, 2024

Researchers from the University of Potsdam, Qualcomm AI Research, and Amsterdam introduced a novel hybrid approach, combining LLMs with SLMs to optimize the efficiency of autoregressive decoding. This process begins with the LLM encoding the prompt into a comprehensive representation. speedup of LLM-to-SLM alone.

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Marktechpost

OCTOBER 16, 2024

Specifically, while LLMs are becoming capable of handling longer input sequences, the increase in retrieved information can overwhelm the system. The challenge lies in making sure that the additional context improves the accuracy of the LLM’s outputs rather than confusing the model with irrelevant information.

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IBM Journey to AI blog

SEPTEMBER 27, 2023

Large language models (LLMs) are foundation models that use artificial intelligence (AI), deep learning and massive data sets, including websites, articles and books, to generate text, translate between languages and write many types of content. The license may restrict how the LLM can be used.

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AssemblyAI

OCTOBER 31, 2024

The transition to online communication—from sales calls to internal meetings to educational coursework—has created significant opportunities for new AI-powered tools and platforms that help individuals fully use all this digital data.  The type of summarizer you choose will impact the way in which the summary is generated.

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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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Marktechpost

JANUARY 30, 2024

Multimodal understanding and generation have been the subject of research, with examples of models such as Flamingo, BLIP-2, and Kosmos-1, which are capable of processing images, sounds, and even video in addition to text. It converts the LLM’s outputs into several modalities. If you like our work, you will love our newsletter.

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Large Language Models AI Researcher AI Research LLM 137

AI Weekly

FEBRUARY 29, 2024

We explore how AI can transform roles and boost performance across business functions, customer operations and software development. artificialintelligence-news.com How AI Is Already Transforming the News Business The news business is falling apart and here comes AI to finish the job — at least that’s what some worry.

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Unite.AI

OCTOBER 18, 2023

The annual State of AI Report serves as a critical benchmark, providing clarity and direction in the rapidly evolving domain of artificial intelligence. Its comprehensive analyses have consistently offered valuable insights to researchers, industry professionals, and policymakers.

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Towards AI

FEBRUARY 24, 2024

Last Updated on February 24, 2024 by Editorial Team Author(s): Dr. Leon Eversberg Originally published on Towards AI. Large Language Models (LLMs) have grown rapidly in size over the past few years. LLM test loss decreases smoothly when compute, dataset size, and parameters are scaled up. From research to projects and ideas.

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LLM Large Language Models AI Researcher AI Research 130

Marktechpost

JANUARY 12, 2024

The post Google AI Researchers Introduce DiarizationLM: A Machine Learning Framework to Leverage Large Language Models (LLM) to Post-Process the Outputs from a Speaker Diarization System appeared first on MarkTechPost. Join our 36k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup.

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Large Language Models Machine Learning AI Researcher AI Research 128

Marktechpost

SEPTEMBER 1, 2024

Current methods for improving LLM reasoning capabilities include strategies such as knowledge distillation, where a smaller model learns from a larger model, and self-improvement, where models are trained on data they generate themselves. Significant improvements in LLM performance were observed across various benchmarks.

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Marktechpost

JANUARY 14, 2024

Patchscopes is a technique that extracts specific information from the hidden layers of an LLM and separates it into different inference processes. The framework can also decode specific attributes from LLM representations, particularly in early layers where other methods struggle. Check out the Paper.

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Marktechpost

APRIL 24, 2024

Researchers at J.P. Morgan AI Research have introduced FlowMind , a system employing LLMs, particularly Generative Pretrained Transformer (GPT), to automate workflows dynamically. In the workflow generation phase, the LLM applies this knowledge to generate and execute code based on user inputs dynamically.

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Machine Learning AI Researcher AI Research Large Language Models 139

Marktechpost

JULY 6, 2024

Large Language Models (LLMs) like ChatGPT and GPT-4 have made significant strides in AI research, outperforming previous state-of-the-art methods across various benchmarks. However, the integration of LLMs into biomedical and healthcare applications faces a critical challenge: their vulnerability to malicious manipulation.

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LLM Large Language Models AI AI 122

Marktechpost

OCTOBER 7, 2023

In addressing the limitations of large language models (LLMs) when capturing less common knowledge and the high computational costs of extensive pre-training, Researchers from Meta introduce Retrieval-Augmented Dual Instruction Tuning (RA-DIT). Researchers introduced RA-DIT for endowing LLMs with retrieval capabilities.

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Marktechpost

DECEMBER 24, 2023

Additionally, LLM hallucination is an infamous issue that causes LLMs to generate unreliable content. To tackle the shortcomings of existing models, researchers at Microsoft have released InsightPilot, a system that automates the process of data exploration using LLMs. If you like our work, you will love our newsletter.

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Unite.AI

MAY 6, 2024

Almost a year ago, Mustafa Suleyman, co-founder of DeepMind, predicted that the era of generative AI would soon give way to something more interactive: systems capable of performing tasks by interacting with software applications and human resources. It also discusses the potential uses of LAMs and the challenges they face.

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AI Weekly

APRIL 11, 2024

We explore how AI can transform roles and boost performance across business functions, customer operations and software development. The Microsoft AI London outpost will focus on advancing state-of-the-art language models, supporting infrastructure, and tooling for foundation models. No legacy process is safe.

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Marktechpost

MAY 16, 2024

Large Language Models (LLMs) like GPT 3.5 and GPT 4 have recently gained a lot of attention in the Artificial Intelligence (AI) community. However, it is impossible to foresee how modifications in the model would affect its output because of the opaque nature of the process and the impact of these updates on LLM behavior.

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Marktechpost

DECEMBER 30, 2023

The recent advancements in Artificial Intelligence have enabled the development of Large Language Models (LLMs) with a significantly large number of parameters, with some of them reaching into billions (for example, LLaMA-2 that comes in sizes of 7B, 13B, and even 70B parameters). If you like our work, you will love our newsletter.

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Large Language Models Machine Learning LLM Artificial Intelligence 135

Marktechpost

NOVEMBER 24, 2024

One promising solution is Speculative Decoding (SD), a method designed to accelerate LLM inference without compromising generated output quality. These models must align with the target LLM’s vocabulary and achieve high acceptance rates, a challenging requirement given the incompatibility issues in existing approaches.

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LLM AI Researcher AI Research Auto-complete 88

Marktechpost

MARCH 3, 2024

The breakthrough introduced by the research team from Meta Reality Labs, PyTorch, and AI@Meta (FAIR), encapsulated in the MobileLLM architecture, represents a pioneering approach specifically tailored for sub-billion parameter models. Don’t Forget to join our Telegram Channel You may also like our FREE AI Courses….

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Machine Learning AI Researcher AI Research Natural Language Processing 134

AI News

MARCH 25, 2024

Stanhope AI – a company applying decades of neuroscience research to teach machines how to make human-like decisions in the real world – has raised £2.3m By using key neuroscience principles and applying them to AI and mathematics, Stanhope AI is at the forefront of the new generation of AI technology known as ‘agentic’ AI.

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