Sun.Nov 03, 2024

article thumbnail

How Can Meta AI on WhatsApp Transform Your Mobile Experience?

Analytics Vidhya

The integration of Meta AI into WhatsApp is transforming our mobile experience. Meta has launched its virtual assistant across its various platforms: Facebook, Instagram, WhatsApp, and Messenger. This advanced chatbot uses the company’s most powerful language model, which is currently Llama 3.2, to offer context-aware interactions that boost productivity and engagement.

Chatbots 170
article thumbnail

Future Token Prediction Model FTP: A New AI Training Method for Transformers that Predicts Multiple Future Tokens

Marktechpost

The current design of causal language models, such as GPTs, is intrinsically burdened with the challenge of semantic coherence over longer stretches because of their one-token-ahead prediction design. This has enabled significant generative AI development but often leads to “topic drift” when longer sequences are produced since each token predicted depends only on the presence of mere preceding tokens, not from a broader perspective.

BERT 114
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

A Primer on Using Google’s Gemini API to Improve Your Photography

Towards AI

Last Updated on November 3, 2024 by Editorial Team Author(s): Devi Originally published on Towards AI. Part 1 of a 2-part beginner series exploring fun generative AI use cases with Gemini to enhance your photography skills! In this blog post, I’ll show you how to build a Photo Critique and Enhancement App using Google’s Gemini-1.5-Flash-8B API and Streamlit (all for free!).

article thumbnail

Efficient Function Calling in Small-Scale LLMs: A Game-Changer for AI Reasoning Tasks

Marktechpost

Recent advancements in Large Language Models (LLMs) have demonstrated exceptional natural language understanding and generation capabilities. Research has explored the unexpected abilities of LLMs beyond their primary training task of text prediction. These models have shown promise in function calling for software APIs, supported by the launch of GPT-4 plugin features.

article thumbnail

Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

Speaker: David Warren and Kevin O’Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

article thumbnail

China: Learning-capable robots set to enter Chinese industries

Flipboard

China - November 04, 2024 Learning-capable robots set to enter Chinese industries (Voice_over) China is exploring wide-ranging applications for Embodied Artificial Intelligence, a technology that integrates AI into physical entities, like robots. Beijing recently issued the first catering business license to an embodied AI robot, paving the way for similar robots to serve food in the capital city.

More Trending

article thumbnail

Tokenformer: The Next Generation of Transformer Architecture Leveraging Tokenized Parameters for Seamless, Cost-Effective Scaling Across AI Applications

Marktechpost

Transformers have transformed artificial intelligence, offering unmatched performance in NLP, computer vision, and multi-modal data integration. These models excel at identifying patterns within data through their attention mechanisms, making them ideal for complex tasks. However, the rapid scaling of transformer models needs to be improved because of the high computational cost associated with their traditional structure.

article thumbnail

Google Maps adds AI features to help you explore and navigate the world around you

Flipboard

With the introduction of Google's AI-powered Gemini technology, the maps are now being set up to become entertainment guides in addition to navigational tools.

AI 73
article thumbnail

LLaMA-Berry: Elevating AI Mathematical Reasoning through a Synergistic Approach of Monte Carlo Tree Search and Enhanced Solution Evaluation Models

Marktechpost

Mathematical reasoning within artificial intelligence has emerged as a focal area in developing advanced problem-solving capabilities. AI can revolutionize scientific discovery and engineering fields by enabling machines to approach high-stakes logical challenges. However, complex tasks, especially Olympiad-level mathematical reasoning, continue to stretch AI’s limits, demanding advanced search methods to navigate solution spaces effectively.

article thumbnail

It’s The End Of The Legal Industry As We Know It

Artificial Lawyer

It’s the end of the legal industry as we know it and I feel fine. I really do. The legal industry as we know it is already over.

89
article thumbnail

15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

article thumbnail

This AI Paper from Google Research Introduces Speculative Knowledge Distillation: A Novel AI Approach to Bridging the Gap Between Teacher and Student Models

Marktechpost

Knowledge distillation (KD) is a machine learning technique focused on transferring knowledge from a large, complex model (teacher) to a smaller, more efficient one (student). This approach is used extensively to reduce large language models’ computational load and resource requirements while retaining as much of their performance as possible.

article thumbnail

Kloudfuse enhances observability platform with AI tools and scalable data management - SiliconANGLE

Flipboard

Artificial intelligence-powered unified observability platform provider Kloudfuse Inc. today announced the launch of Kloudfuse 3.

65
article thumbnail

A Study on Protein Conformational Changes Using a Large-Scale Biophysical Sampling Augmented Deep Learning Strategy

Marktechpost

Predicting protein conformational changes remains a crucial challenge in computational biology and artificial intelligence. Breakthroughs achieved by deep learning, such as AlphaFold2, have moved the goalpost for predicting static structures but do not address the dynamic conformational change most proteins undertake to exercise their biological roles.

article thumbnail

Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP

Machine Learning Research at Apple

Large pretrained vision-language models like CLIP have shown promising generalization capability, but may struggle in specialized domains (e.g., satellite imagery) or fine-grained classification (e.g., car models) where the visual concepts are unseen or under-represented during pretraining. Prompt learning offers a parameter-efficient finetuning framework that can adapt CLIP to downstream tasks even when limited annotation data are available.

LLM 52
article thumbnail

From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

article thumbnail

Top 15 AI Business Name Generators

Marktechpost

In today’s fast-paced business world, a strong brand name is more crucial than ever. It’s the first impression you make on potential customers, and it can significantly impact your business’s success. But coming up with a unique and memorable name can be a daunting task. This is where AI business name generators come to the rescue.

AI 74
article thumbnail

Gamma AI: A Comprehensive Overview

Pickl AI

Summary: Gamma AI is an innovative presentation tool that leverages Artificial Intelligence to simplify content creation. Users can quickly generate structured presentations, collaborate in real-time with team members, and utilise customizable templates for professional design. Its intuitive interface ensures that anyone can create engaging presentations without extensive design experience.

article thumbnail

OpenWebVoyager: Building Multimodal Web Agents via Iterative Real-World Exploration, Feedback and Optimization

Marktechpost

Designing autonomous agents that can navigate complex web environments raises many challenges, in particular when such agents incorporate both textual and visual information. More classically, agents have limited capability since they are confined to synthetic, text-based environments with well-engineered reward signals, which restricts their applications to real-world web navigation tasks.

article thumbnail

Pattern Matching in SQL

Pickl AI

Summary: Pattern matching in SQL enables users to identify specific sequences of data within databases using various techniques such as the LIKE operator and regular expressions. This powerful feature enhances data analysis, allowing for complex queries that can uncover trends and insights across datasets. Understanding pattern matching is essential for effective data manipulation.

article thumbnail

Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

article thumbnail

Understanding Memorization in Diffusion Models: A Statistical Physics Approach to Manifold-Supported Data

Marktechpost

Generative diffusion models have revolutionized image and video generation, becoming the foundation of state-of-the-art generation software. While these models excel at handling complex high-dimensional data distributions, they face a critical challenge: the risk of complete training set memorization in low-data scenarios. This memorization capability raises legal concerns like copyright laws, as these models might reproduce exact copies of training data rather than generate novel content.

article thumbnail

Uber's in-house and open-source LLM Training Stack

Bugra Akyildiz

Articles Uber has written their Open-Source and In-House LLM training stack in a very comprehensive blog post. They talk about how their training tech stack has evolved over time, which showed a good timeline on their adoption of deep learning, and now GenAI technologies. Of course, each timeline brings their own separate stack in terms of software and hardware.

LLM 52
article thumbnail

Trajectory Flow Matching (TFM): A Simulation-Free Training Algorithm for Neural Differential Equation Models

Marktechpost

In healthcare, time series data is extensively used to track patient metrics like vital signs, lab results, and treatment responses over time. This data is critical in monitoring disease progression, predicting healthcare risks, and personalizing treatments. However, due to high dimensionality, irregularly sampled trajectories, and dynamic nature, time series data in clinical settings demands a nuanced approach for rigorous analysis.

article thumbnail

Robotics is Inching Towards it ChatGPT Moment

TheSequence

Created Using Ideogram Next Week in The Sequence: Edge 445: We start a new series about one of the most exciting topics in generative AI: model distillation. The Sequence Chat: We discuss some coontroversial points on the debate between small vs. large foundation models. Edge 446: We dive into OpenAI’s MLE-Bench, one of the craziest benchmarks ever created.

article thumbnail

The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

article thumbnail

SearchGPT: ChatGPT’s New Web Search Tool

Robot Writers AI

Promising — But Not Perfect ChatGPT’s latest hip-check to Google — its own search engine — is delighting untold numbers across the Web. Accessible with a simple click on a new globe icon in the ChatGPT message box, the new tool brings back summaries of searches for you — complete with hotlinks to the sources of the summaries.

article thumbnail

China Just Turned Meta’s Llama AI into a Military Tool

Towards AI

Author(s): Get The Gist Originally published on Towards AI. Is global security at risk? This member-only story is on us. Upgrade to access all of Medium. Brookings Institute Open-source AI has changed the world for developers, researchers and enthusiasts. When companies release open-source models they want to democratize innovation — give people the tools to create, explore and even dream up entirely new applications.

AI 87
article thumbnail

Meet Hertz-Dev: An Open-Source 8.5B Audio Model for Real-Time Conversational AI with 80ms Theoretical and 120ms Real-World Latency on a Single RTX 4090

Marktechpost

Conversational AI is now a cornerstone of technology, but achieving fast, efficient, and real-time interaction remains challenging. Latency—the delay between input and response—limits applications like customer service bots and virtual assistants, making interactions feel sluggish. Existing models often require significant computational power, putting real-time AI out of reach for smaller setups and independent developers.