Analytics Vidhya

APRIL 20, 2024

Introduction Large Language Models (LLMs) are becoming increasingly valuable tools in data science, generative AI (GenAI), and AI. These complex algorithms enhance human capabilities and promote efficiency and creativity across various sectors. LLM development has accelerated in recent years, leading to widespread use in tasks like complex data analysis and natural language processing.

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Unite.AI

APRIL 20, 2024

Video editing software can be overwhelming and confusing, especially for beginners. But with the advent of AI video editing tools and generators , anyone can edit professional videos in minutes! I recently came across Wondershare Filmora , a popular AI video editing software with millions of users worldwide. With its intuitive interface and wide range of features, Filmora has become a go-to choice for beginners and casual video editors who want to create professional-looking videos without a ste

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Marktechpost

APRIL 20, 2024

Exploring the synergy between reinforcement learning (RL) and large language models (LLMs) reveals a vibrant area of computational linguistics. These models, primarily enhanced through human feedback, demonstrate remarkable ability in understanding and generating human-like text, yet they continuously evolve to capture more nuanced human preferences.

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Machine Learning Computational Linguistics Large Language Models LLM 137

Extreme Tech

APRIL 20, 2024

The tale of our sun may begin with another star: a predecessor whose fiery death brought about the birth of our solar system.

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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

Marktechpost

APRIL 20, 2024

With the widespread deployment of large language models (LLMs) for long content generation, there’s a growing need for efficient long-sequence inference support. However, the key-value (KV) cache, crucial for avoiding re-computation, has become a critical bottleneck, increasing in size linearly with sequence length. The auto-regressive nature of LLMs necessitates loading the entire KV cache for each generated token, leading to low computational core utilization and high latency.

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Large Language Models LLM AI AI 133

Marktechpost

APRIL 20, 2024

Machine learning has become an important domain that has contributed to developing platforms and products that are data-driven, adaptive, and intelligent. The AI systems help to shape the users, and in turn, users shape these systems. A popular method, Content Recommender Systems (CRS), can interact with viewers and creators and facilitate algorithmic curation and personalization.

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Explosion

APRIL 20, 2024

A more in-depth look at the concepts and ideas behind my talk "The AI Revolution Will Not Be Monopolized: How open-source beats economies of scale, even for LLMs" , including academic literature, related experiments and preliminary results for distilled task-specific models.

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Marktechpost

APRIL 20, 2024

Running Llama 3 locally on your PC or Mac has become more accessible thanks to various tools that leverage this powerful language model’s open-source capabilities. Below are three effective methods to install and run Llama 3, each catering to different user needs and technical expertise. 1. Using Ollama Supported Platforms: MacOS, Ubuntu, Windows (Preview) Steps: Download Ollama from the official site.

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Bugra Akyildiz

APRIL 20, 2024

Generative Recommenders We have recently open-sourced our next generation recommender system: Generative Recommender , check it out, give stars and fork if you are interested in contributing! The paper that accompanies code is also here. If you have questions/comments, please send it to my way as well! Now, back to the original programming: Articles Pinterest wrote a blog post on generating SQL queries from text.

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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

Marktechpost

APRIL 20, 2024

Deep learning has dramatically transformed industries, from healthcare to autonomous driving. However, these advancements wouldn’t be possible without parallel developments in hardware technology. Let’s explore the evolution of deep learning hardware, focusing on GPUs and TPUs and what the future holds. The Rise of GPUs Graphic Processing Units (GPUs) have been pivotal in the deep learning revolution.

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Marktechpost

APRIL 20, 2024

Artificial Intelligence (AI) has traditionally been driven by statistical learning methods that excel in identifying patterns from large datasets. These methods, however, predominantly capture correlations rather than causations. This distinction is crucial, as correlation does not imply causation. Causal AI emerges as a groundbreaking approach aiming to understand the “why” behind the data, enabling more robust decision-making processes.

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Marktechpost

APRIL 20, 2024

Rapid technological advancement is transforming the data analysis industry. Artificial intelligence (AI) quickly changes workflows, potentially automating activities and generating deeper insights. Meet Briefer , a cool AI startup that offers a Notion-like interface that simplifies SQL and Python code execution, collaboration through comments and real-time editing, and direct connections to data sources.

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Data Scientist Data Analysis Python Artificial Intelligence 115

Marktechpost

APRIL 20, 2024

Google AI researchers introduced ScaNN vector search library to address the need of efficient vector similarity search, which is a critical component of many machine learning algorithms. Existing methods for vector similarity calculation work well with small datasets, but as datasets continue to grow and new applications come up, the demand for further improvements in scalability and performance grows.

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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?

Business Intelligence

Marktechpost

APRIL 20, 2024

Code generation has emerged as a significant area for evaluating and deploying Large Language Models (LLMs). However, many of the current coding benchmarks, like HumanEval and MBPP, have achieved solution rates above 90% as language models have grown in size and new inference techniques have been created. This saturation points to the need for more difficult benchmarks that can highlight the limitations of existing models and inference techniques while also offering suggestions for improving the

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Marktechpost

APRIL 20, 2024

MLCommons, a collaborative effort of industry and academia, focuses on enhancing AI safety, efficiency, and accountability through rigorous measurement standards like MLPerf. Its AI Safety Working Group, established in late 2023, aims to develop benchmarks for assessing AI safety, tracking its progress over time, and incentivizing safety improvements.

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Marktechpost

APRIL 20, 2024

Meta has officially introduced its new AI assistant, an AI chatbot called Meta AI, powered by Meta’s latest and most capable openly available LLM, Meta Llama 3. Since the big bang in the popularity of AI chatbots with OpenAI’s ChatGPT, almost every major organization wants to get involved, from Google with Gemini to Meta with probably the most capable AI chatbot currently, Meta AI powered by Llama 3.

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Marktechpost

APRIL 20, 2024

Deep neural networks like convolutional neural networks (CNNs) have revolutionized various computer vision tasks, from image classification to object detection and segmentation. As models grew larger and more complex, their accuracy soared. However, deploying these resource-hungry giants on devices with limited computing power, such as embedded systems or edge platforms, became increasingly challenging.

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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.