Sun.Sep 15, 2024

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A Comprehensive Guide to Fine-Tune Open-Source LLMs Using Lamini

Analytics Vidhya

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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LLaMA-Omni: A Novel AI Model Architecture Designed for Low-Latency and High-Quality Speech Interaction with LLMs

Marktechpost

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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How to Build Games with OpenAI o1?

Analytics Vidhya

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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How Spellbook Is Implementing OpenAI o1 Into Legal Workflows

Artificial Lawyer

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.

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Don't Let AI Pass You By: The New Era of Personalized Sales Coaching & Development

Speaker: Brendan Sweeney, VP of Sales & Devyn Blume, Sr. Account Executive

Are you curious about how artificial intelligence is reshaping sales coaching, learning, and development? Join Brendan Sweeney and Devyn Blume of Allego for an engaging new webinar exploring AI's transformative role in sales coaching and performance improvement! Brendan and Devyn will share actionable insights and strategies for integrating AI into coaching and development - ensuring personalized, effective, and scalable training!

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Windows Agent Arena (WAA): A Scalable Open-Sourced Windows AI Agent Platform for Testing and Benchmarking Multi-modal, Desktop AI Agent

Marktechpost

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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More Trending

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Agent Workflow Memory (AWM): An AI Method for Improving the Adaptability and Efficiency of Web Navigation Agents

Marktechpost

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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Take a Powder, Einstein

Robot Writers AI

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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CONClave: Enhancing Security and Trust in Cooperative Autonomous Vehicle Networks Cooperative Infrastructure Sensors Environments

Marktechpost

The cooperative operation of autonomous vehicles can greatly improve road safety and efficiency. However, securing these systems against unauthorized participants poses a significant challenge. This issue is not just about technical solutions, it also involves preventing against intentionally disrupting cooperative applications and faulty vehicles unintentionally causing disruptions due to errors.

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DataGemma through RIG and RAG

Bugra Akyildiz

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.

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How To Select the Right Software for Innovation Management

Finding the right innovation management software is like picking a racing bike—it's essential to consider your unique needs rather than just flashy features. This oversight can stall your innovation efforts. Download now to explore key considerations for success!

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XVERSE-MoE-A36B Released by XVERSE Technology: A Revolutionary Multilingual AI Model Setting New Standards in Mixture-of-Experts Architecture and Large-Scale Language Processing

Marktechpost

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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How GitLab uses spaCy to analyze support tickets and empower their community

Explosion

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

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HuggingFace Team Released FineVideo: A Comprehensive Dataset Featuring 43,751 YouTube Videos Across 122 Categories for Advanced Multimodal AI Analysis

Marktechpost

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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Scientists Engineer Molecule-Scale Memory States, Surpassing Traditional Computing Limits

Unite.AI

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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The New Frontier: A Guide to Monetizing AI Offerings

Speaker: Michael Mansard and Katherine Shealy

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.

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GenMS: An Hierarchical Approach to Generating Crystal Structures from Natural Language Descriptions

Marktechpost

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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Siamese Neural Network in Deep Learning: Features and Architecture

Pickl AI

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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InfraLib: A Comprehensive AI framework for Enabling Reinforcement Learning and Decision Making for Large Scale Infrastructure Management

Marktechpost

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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Some Non-Obvious Points About OpenAI 01

TheSequence

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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How to Master Product Portfolio Management

Pursuing product portfolio management excellence empowers organizations to unlock the full potential of their offerings. This comprehensive guide unveils 10 essential keys that serve as the building blocks for success.

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HNSW, Flat, or Inverted Index: Which Should You Choose for Your Search? This AI Paper Offers Operational Advice for Dense and Sparse Retrievers

Marktechpost

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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SaRA: A Memory-Efficient Fine-Tuning Method for Enhancing Pre-Trained Diffusion Models

Marktechpost

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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DSBench: A Comprehensive Benchmark Highlighting the Limitations of Current Data Science Agents in Handling Complex, Real-world Data Analysis and Modeling Tasks

Marktechpost

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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Comprehensive Overview of 20 Essential LLM Guardrails: Ensuring Security, Accuracy, Relevance, and Quality in AI-Generated Content for Safer User Experiences

Marktechpost

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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Building Your BI Strategy: How to Choose a Solution That Scales and Delivers

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.

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Small but Mighty: The Enduring Relevance of Small Language Models in the Age of LLMs

Marktechpost

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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IIISc Researchers Developed a Brain-Inspired Analog Computing Platform with 16,500 Conductance States in a Molecular Film

Marktechpost

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