AI News

NOVEMBER 12, 2024

This situation with its latest AI model emerges at a pivotal time for OpenAI, following a recent funding round that saw the company raise $6.6 With this financial backing comes increased expectations from investors, as well as technical challenges that complicate traditional scaling methodologies in AI development.

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AI News

OCTOBER 14, 2024

These new facilities will provide the UK with increased computing power and data storage capabilities, essential for training and deploying next-generation AI technologies. The largest single investment comes from Washington DC-based CloudHQ, which plans to develop a £1.9 billion data centre campus in Didcot, Oxfordshire.

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AI News

SEPTEMBER 20, 2024

The company also launched an AI Developer, a Qwen-powered AI assistant designed to support programmers in automating tasks such as requirement analysis, code programming, and bug identification and fixing. To support these AI advancements, Alibaba Cloud has announced several infrastructure upgrades, including: CUBE DC 5.0,

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NVIDIA

MARCH 18, 2024

Generative AI for Automotive in Full Force at GTC Several NVIDIA partners at GTC are also showcasing their latest generative AI developments using NVIDIA’s edge-to-cloud technology: Cerence’s CaLLM is an automotive-specific LLM that serves as the foundation for the company’s next-gen in-car computing platform, running on NVIDIA DRIVE.

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Unite.AI

NOVEMBER 11, 2024

It allows us to learn from experiences, recall past events, and manage the world's complexities. Machines are demonstrating remarkable capabilities as Artificial Intelligence (AI) advances, particularly with Large Language Models (LLMs). LLMs do not have explicit memory storage like humans.

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AI Weekly

OCTOBER 10, 2024

techxplore.com AI meets “blisk” in new DARPA-funded collaboration Collaborative multi-university team will pursue new AI-enhanced design tools and high-throughput testing methods for next-generation turbomachinery. Below, we present three ETH teams that will be putting their innovative solutions to the test at this October’s event.

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Flipboard

APRIL 19, 2023

“Vector databases are the natural extension of their (LLMs) capabilities,” Zayarni explained to TechCrunch. Qdrant, an open source vector database startup, wants to help AI developers leverage unstructured data by Paul Sawers originally published on TechCrunch ” Investors have been taking note, too. .

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Marktechpost

OCTOBER 7, 2024

While Autoregressive Large Language Models (LLMs) have excelled in generating coherent and lengthy sequences of tokens in natural language processing, their application in video generation has been limited to short videos of a few seconds. Training a video generation model like Loong involves a unique process. Let’s collaborate!

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Marktechpost

OCTOBER 8, 2024

Don’t Forget to join our 50k+ ML SubReddit Interested in promoting your company, product, service, or event to over 1 Million AI developers and researchers? The post From Prediction to Reasoning: Evaluating o1’s Impact on LLM Probabilistic Biases appeared first on MarkTechPost. Let’s collaborate!

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Marktechpost

OCTOBER 5, 2024

This model represents a significant advancement in LLM research by seamlessly integrating vision, language, and speech capabilities. The vision encoder captures high-resolution visual features, projecting them into the text embedding space, while the speech encoder transforms speech into discrete units that the LLM can process.

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AI News

APRIL 17, 2024

The purpose of our AI Ethics Council is to tackle pressing ethical and security issues impacting AI development and usage. As AI rapidly becomes central to consumers and businesses across nearly every industry, we believe it is crucial to prioritise responsible development and cannot ignore the need for ethical considerations.

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Marktechpost

OCTOBER 5, 2024

Large Language Models (LLMs) have become integral to numerous AI systems, showcasing remarkable capabilities in various applications. However, as the demand for processing long-context inputs grows, researchers face significant challenges in optimizing LLM performance.

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Unite.AI

AUGUST 1, 2024

Turing’s AGI Icons event series brings together AI innovators to discuss practical and responsible advancements of AGI solutions. On July 24, Turing hosted our second AGI Icons event at SHACK15, San Francisco’s exclusive hub for entrepreneurs and tech innovators.

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AWS Machine Learning Blog

MARCH 14, 2024

We formulated a text-to-SQL approach where by a user’s natural language query is converted to a SQL statement using an LLM. This data is again provided to an LLM, which is asked to answer the user’s query given the data. The relevant information is then provided to the LLM for final response generation.

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NVIDIA

NOVEMBER 7, 2024

NVIDIA founder and CEO Jensen Huang will join SoftBank Group Chairman and CEO Masayoshi Son in a fireside chat at NVIDIA AI Summit Japan to discuss the transformative role of AI and more. Call to action: Tickets for the event are sold out, but tune in via livestream or watch on-demand sessions.

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Marktechpost

NOVEMBER 14, 2024

In the realm of AI development, having the ability to simulate societies of agents with distinct personalities and adaptive behaviors could pave the way for a whole host of new applications. The Importance and Applications of TinyTroupe The significance of TinyTroupe cannot be overstated. Don’t Forget to join our 55k+ ML SubReddit.

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Marktechpost

OCTOBER 5, 2024

By optimizing RM selection on an instance level, LASER reduces computational overhead while improving the efficiency and accuracy of LLM training across a diverse set of tasks, avoiding the reward hacking problems seen in single RM methods. In conclusion, LASER represents a significant advancement in reward model selection for LLM training.

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Marktechpost

OCTOBER 6, 2024

However, trying to choose the best available LLM from an ever-increasing pool of models presents another difficulty. Role-RL uses real-time performance data to automate the deployment of various LLMs in the OLP pipeline according to their ideal roles. The framework also reduces LLM expenses by 79.4%. Check out the Paper.

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Marktechpost

APRIL 18, 2024

However, TrueFoundry has recently introduced a new open-source framework called Cognita , which utilizes Retriever-Augmented Generation (RAG) technology to simplify the transition by providing robust, scalable solutions for deploying AI applications. However, Cognita aims to bridge this gap.

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Marktechpost

OCTOBER 6, 2024

A popular method when employing Large Language Models (LLMs) for complicated analytical tasks, such as code generation, is to attempt to solve the full problem within the model’s context window. The informational segment that the LLM is capable of processing concurrently is referred to as the context window. Let’s collaborate!

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Marktechpost

OCTOBER 6, 2024

The proposed methodology employs a two-step approach for IV discovery using LLMs. In Step 1, the LLM is prompted to search for IVs that satisfy verbal descriptions of exclusion restriction (i) and relevance condition. Both steps involve counterfactual statements and require the LLM to provide rationales for its responses.

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IBM Journey to AI blog

APRIL 18, 2024

AI systems like LaMDA and GPT-3 excel at generating human-quality text, accomplishing specific tasks, translating languages as needed, and creating different kinds of creative content. On a smaller scale, some organizations are reallocating gen AI budgets towards headcount savings, particularly in customer service.

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Towards AI

MAY 30, 2024

But what does this mean for AI development? source: python.langchain.com In this article, we’ll explore the exciting world of prompt engineering using Langchain, the AI equivalent of scikit-learn for machine learning. Examples may also guide the LLM to generate the output in the desired format and structure.

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NVIDIA

JULY 31, 2024

With this technology, users can transform any content into high dynamic range video with richer colors and greater detail in light and dark scenes — making it ideal for gaming videos, travel vlogs or event filmmaking. Designed to enhance productivity and streamline AI development, AI Studio allows data science teams to focus on innovation.

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Marktechpost

OCTOBER 6, 2024

Traditionally, LLMs have trained on supervised learning algorithms employing large labelled datasets. They are inflexible and have generalisation issues, making it difficult for the LLM to adapt to the user environment. The LLM generates a code based on the user’s instructions, evaluates some public test cases, and provides feedback.

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Marktechpost

OCTOBER 4, 2024

Inaccurate information or unsupported claims can have severe implications in such domains, making assessing and improving the faithfulness of LLM outputs when operating within given contexts is essential. For instance, when multiple relevant paragraphs are retrieved, the model might omit critical details or present conflicting evidence.

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NVIDIA

OCTOBER 23, 2024

at the NVIDIA AI Summit , taking place Oct. The company also uses NVIDIA NeMo to develop its sovereign large language model (LLM) platform, TeNo. Sarvam AI offers enterprise customers speech-to-text, text-to-speech, translation and data parsing models. Tech Mahindra will showcase Indus 2.0 23-25 in Mumbai.

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Marktechpost

OCTOBER 5, 2024

This new AOI paradigm is promising and would grow with acceleration in LLM functionalities. It would be interesting to see if its counter Meta, which has made massive strides in segmentation and LLM, would develop new solutions to supersede XR Objects and take XR to a new zenith. Check out the Paper and Details.

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IBM Journey to AI blog

OCTOBER 16, 2023

Curated foundation models, such as those created by IBM or Microsoft, help enterprises scale and accelerate the use and impact of the most advanced AI capabilities using trusted data. In addition to natural language, models are trained on various modalities, such as code, time-series, tabular, geospatial and IT events data.

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Marktechpost

OCTOBER 4, 2024

False memories, recollections of events that did not occur or significantly deviate from actual occurrences, pose a significant challenge in psychology and have far-reaching consequences. Don’t Forget to join our 50k+ ML SubReddit Interested in promoting your company, product, service, or event to over 1 Million AI developers and researchers?

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Marktechpost

OCTOBER 7, 2024

By using sparse autoencoders, researchers identified and manipulated features crucial for in-context learning, demonstrating their impact on LLM behaviour and representations. Don’t Forget to join our 50k+ ML SubReddit Interested in promoting your company, product, service, or event to over 1 Million AI developers and researchers?

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Marktechpost

MAY 27, 2024

. ## shell git clone [link] cd eval-dev-quality go install -v github.com/symflower/eval-dev-quality/cmd/eval-dev-quality Developers can specify which models to evaluate and obtain comprehensive reports in formats such as CSV and Markdown. as the LLM provider, with plans to expand support to additional providers.

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Unite.AI

APRIL 12, 2024

Here's a simplified explanation of the algorithms and examples provided in the paper: Encoding On-Screen Entities: The paper explores several strategies to encode on-screen elements in a textual format that can be processed by a Large Language Model (LLM).

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Marktechpost

OCTOBER 4, 2024

Large Language Models (LLMs) have gained significant attention in recent years, but they face a critical security challenge known as prompt leakage. This vulnerability allows malicious actors to extract sensitive information from LLM prompts through targeted adversarial inputs. The attack strategy consists of two turns.

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Unite.AI

FEBRUARY 15, 2024

This involves developing models that are not just generic in their application but are fine-tuned to address specific areas within our enterprise operations. For example, we are working on an LLM dedicated to security, which can flag security events more efficiently, and another that focuses on infrastructure monitoring.

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Marktechpost

OCTOBER 5, 2024

The model is designed to cater specifically to the Japanese language and showcases the company’s continued investment in advancing large language model (LLM) capabilities. Don’t Forget to join our 50k+ ML SubReddit Interested in promoting your company, product, service, or event to over 1 Million AI developers and researchers?

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Marktechpost

OCTOBER 5, 2024

By leveraging recent advancements in automatic factuality evaluation, FACTALIGN aligns LLM responses with fine-grained factual assessments. The study’s key contributions include the fKTO algorithm and the FACTALIGN framework for improving LLM reliability. If you like our work, you will love our newsletter. Let’s collaborate!

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