Analytics Vidhya

SEPTEMBER 15, 2024

Introduction Recently, with the rise of large language models and AI, we have seen innumerable advancements in natural language processing. Models in domains like text, code, and image/video generation have archived human-like reasoning and performance. These models perform exceptionally well in general knowledge-based questions. Models like GPT-4o, Llama 2, Claude, and Gemini are trained on publicly […] The post A Comprehensive Guide to Fine-Tune Open-Source LLMs Using Lamini appeared fir

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Marktechpost

SEPTEMBER 15, 2024

Large language models (LLMs) have emerged as powerful general-purpose task solvers, capable of assisting people in various aspects of daily life through conversational interactions. However, the predominant reliance on text-based interactions has significantly limited their application in scenarios where text input and output are not optimal. While recent advancements, such as GPT4o, have introduced speech interaction capabilities with extremely low latency, enhancing user experience, the open-s

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Analytics Vidhya

SEPTEMBER 15, 2024

Introduction The OpenAI o1 model family significantly advances reasoning power and economic performance, especially in science, coding, and problem-solving. OpenAI’s goal is to create ever-more-advanced AI, and o1 models are an advancement over GPT-4 in terms of performance and safety. This article will explain how to build games with OpenAI o1, such as Brick Breaker […] The post How to Build Games with OpenAI o1?

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OpenAI Explainability AI AI 201

Marktechpost

SEPTEMBER 15, 2024

Artificial intelligence (AI) has been advancing in developing agents capable of executing complex tasks across digital platforms. These agents, often powered by large language models (LLMs), have the potential to dramatically enhance human productivity by automating tasks within operating systems. AI agents that can perceive, plan, and act within environments like the Windows operating system (OS) offer immense value as personal and professional tasks increasingly move into the digital realm.

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Speaker: Michael Mansard

Generative AI is no longer just an exciting technological advancement––it’s a seismic shift in the SaaS landscape. Companies today are grappling with how to not only integrate AI into their products but how to do so in a way that makes financial sense. With the cost of developing AI capabilities growing, finding a flexible monetization strategy has become mission critical.

AI

Artificial Lawyer

SEPTEMBER 15, 2024

By Scott Stevenson, CEO, Spellbook. A couple of weeks ago we bet big on AI agents with the launch of Spellbook Associate. We believe that agentic approaches will.

OpenAI 112

OpenAI AI AI 112

Pickl AI

SEPTEMBER 15, 2024

Summary: DALL-E 2 is an AI-powered model by OpenAI that creates high-resolution images from text prompts. Its advanced features, like inpainting and flexible image generation, revolutionise visual content creation. Learn to use DALL-E 2 effectively and explore its diverse marketing, design, and media applications. Introduction DALL-E 2, an advanced image generation model by OpenAI, transforms textual descriptions into high-quality images with remarkable creativity.

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Marktechpost

SEPTEMBER 15, 2024

HuggingFace has made a significant stride in AI-driven video analysis and understanding with the release of FineVideo , an expansive and versatile dataset focused on multimodal learning. FineVideo consists of over 43,000 YouTube videos, meticulously selected under Creative Commons Attribution (CC-BY) licenses. It is a critical resource for researchers, developers, and AI enthusiasts aiming to advance video comprehension, mood analysis, and multimedia storytelling models.

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Metadata AI Modeling AI AI 104

Robot Writers AI

SEPTEMBER 15, 2024

Upgraded ChatGPT Thinks at the PhD Level OpenAI is out with a new upgrade to ChatGPT that features extremely advanced, in-depth thinking — and outperforms PhD students in physics, chemistry and biology. The software undergirding the new upgrade — dubbed OpenAI o1 — also offers head-turning new performance highs in math and computer coding.

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Marktechpost

SEPTEMBER 15, 2024

XVERSE Technology made a significant leap forward by releasing the XVERSE-MoE-A36B , a large multilingual language model based on the Mixture-of-Experts (MoE) architecture. This model stands out due to its remarkable scale, innovative structure, advanced training data approach, and diverse language support. The release represents a pivotal moment in AI language modeling, positioning XVERSE Technology at the forefront of AI innovation.

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Large Language Models AI Modeling AI AI 104

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

Business Intelligence

Bugra Akyildiz

SEPTEMBER 15, 2024

Articles Google wrote an article on DataGemma where they focus on how important the data is in developing LLM; specifically the LLM family of Gemma. Gemma is a family of lightweight, state-of-the-art, open models built from the same research and technology used to create our Gemini models. DataGemma expands the capabilities of the Gemma family by harnessing the knowledge of Data Commons to enhance LLM factuality and reasoning.

LLM 52

LLM Natural Language Processing Software Engineer Computer Vision 52

Marktechpost

SEPTEMBER 15, 2024

Generative models have advanced significantly, enabling the creation of diverse data types, including crystal structures. In materials science, these models can combine existing knowledge to propose new crystals, leveraging their ability to generalize from large datasets. However, current models often require detailed input or large numbers of samples to generate new materials.

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Neural Network Large Language Models LLM Robotics 102

Explosion

SEPTEMBER 15, 2024

A case study on GitLab’s large-scale NLP pipelines for extracting actionable insights from support tickets and usage questions.

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NLP 66

Marktechpost

SEPTEMBER 15, 2024

Infrastructure systems must be managed effectively to preserve sustainability, protect public safety, and uphold economic stability. Transportation, communication, energy distribution, and other functions are made possible by these networks, which are the cornerstone of any functioning society. However, there is a great deal of difficulty in maintaining these enormous and intricate networks.

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Unite.AI

SEPTEMBER 15, 2024

A group of researchers at the University of Limerick have unveiled an innovative approach to designing molecules for computational purposes. This method, which draws inspiration from the human brain's functioning, has the potential to dramatically enhance the speed and energy efficiency of artificial intelligence systems. The research team, led by Professor Damien Thompson at the Bernal Institute, has discovered novel techniques for manipulating materials at the most fundamental molecular level.

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Marktechpost

SEPTEMBER 15, 2024

Web navigation agents revolve around creating autonomous systems capable of performing tasks like searching, shopping, and retrieving information from the internet. These agents utilize advanced language models to interpret instructions and navigate through digital environments, making decisions to execute tasks that typically require human intervention.

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Pickl AI

SEPTEMBER 15, 2024

Summary: Siamese Neural Networks use twin subnetworks to compare pairs of inputs and measure their similarity. They are effective in face recognition, image similarity, and one-shot learning but face challenges like high computational costs and data imbalance. Introduction Neural networks form the backbone of Deep Learning , allowing machines to learn from data by mimicking the human brain’s structure.

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Neural Network Deep Learning Convolutional Neural Networks Data Scarcity 52

Marktechpost

SEPTEMBER 15, 2024

A significant challenge in information retrieval today is determining the most efficient method for nearest-neighbor vector search, especially with the growing complexity of dense and sparse retrieval models. Practitioners must navigate a wide range of options for indexing and retrieval methods, including HNSW (Hierarchical Navigable Small-World) graphs, flat indexes, and inverted indexes.

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AI AI ML Artificial Intelligence 59

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.

AI

TheSequence

SEPTEMBER 15, 2024

Image Credit: OpenAI Next Week in The Sequence: Edge 431: Our series about space state models(SSMs) continues with an overview of multimodal SSMs. We discuss the Cobra SSM multimodal model and NVIDIA’s TensorRT-LLM framework. Edge 432: Dives into NVIDIA’s Minitron models distilled from Llama 3.1. You can subscribe to The Sequence below: TheSequence is a reader-supported publication.

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OpenAI LLM AI Research AI Researcher 52

Marktechpost

SEPTEMBER 15, 2024

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Marktechpost

SEPTEMBER 15, 2024

Recent advancements in diffusion models have significantly improved tasks like image, video, and 3D generation, with pre-trained models like Stable Diffusion being pivotal. However, adapting these models to new tasks efficiently remains a challenge. Existing fine-tuning approaches—Additive, Reparameterized, and Selective-based—have limitations, such as added latency, overfitting, or complex parameter selection.

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Marktechpost

SEPTEMBER 15, 2024

Data science is a rapidly evolving field that leverages large datasets to generate insights, identify trends, and support decision-making across various industries. It integrates machine learning, statistical methods, and data visualization techniques to tackle complex data-centric problems. As the volume of data grows, there is an increasing demand for sophisticated tools capable of handling large datasets and intricate and diverse types of information.

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Data Science Data Analysis Data Scientist Machine Learning 64

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

LLM

Marktechpost

SEPTEMBER 15, 2024

With the rapid expansion and application of large language models (LLMs), ensuring these AI systems generate safe, relevant, and high-quality content has become critical. As LLMs are increasingly integrated into enterprise solutions, chatbots, and other platforms, there is an urgent need to set up guardrails to prevent these models from generating harmful, inaccurate, or inappropriate outputs.

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LLM Large Language Models AI AI 111

Marktechpost

SEPTEMBER 15, 2024

Large Language Models (LLMs) have revolutionized natural language processing in recent years. The pre-train and fine-tune paradigm, exemplified by models like ELMo and BERT, has evolved into prompt-based reasoning used by the GPT family. These approaches have shown exceptional performance across various tasks, including language generation, understanding, and domain-specific applications.

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Marktechpost

SEPTEMBER 15, 2024

Traditional computing systems, primarily based on digital electronics, are facing increasing limitations in energy efficiency and computational speed. As silicon-based chips near their performance limits, there is a growing need for new hardware architectures to support complex tasks, such as artificial intelligence (AI) model training. Matrix multiplication, the fundamental operation in many AI algorithms, consumes vast amounts of energy and time on digital computers, limiting the democratizati

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