Sat.Apr 20, 2024

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30+ LLM Interview Questions and Answers

Analytics Vidhya

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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Researchers at Stanford University Explore Direct Preference Optimization (DPO): A New Frontier in Machine Learning and Human Feedback

Marktechpost

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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How Old Is the Solar System, and How Did It Form?

Extreme Tech

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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3 Ways to Run Llama 3 on Your PC or Mac

Marktechpost

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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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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Retrieval Augmented Generation(RAG) tutorial using OpenAI and Langchain

Pragnakalp

Introduction In a world overflowing with information, finding the right answers quickly is crucial. Imagine having a virtual assistant that not only understands your questions but also provides responses with a touch of intelligence. That’s where the magic of Langchain and OpenAI comes in! In this blog, we’ll embark on a journey to create a RAG (Retrieval-Augmented Generation) Question and Answer system.

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The AI Revolution Will Not Be Monopolized: Behind the scenes

Explosion

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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Understanding Causal AI: Bridging the Gap Between Correlation and Causation

Marktechpost

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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Pinterest's Text to SQL system through LLMs!

Bugra Akyildiz

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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Meet Briefer: An AI-Powered Startup with Jupyter Notebook like Platform that Helps Data Scientists Create Analyses, Visualizations, and Data Apps

Marktechpost

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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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Wondershare Filmora Review: The Easiest AI Video Editor?

Unite.AI

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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Can Language Models Solve Olympiad Programming? Researchers at Princeton University Introduce USACO Benchmark for Rigorously Evaluating Code Language Models

Marktechpost

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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This AI Paper from MLCommons AI Safety Working Group Introduces v0.5 of the Groundbreaking AI Safety Benchmark

Marktechpost

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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Researchers at CMU Introduce TriForce: A Hierarchical Speculative Decoding AI System that is Scalable to Long Sequence Generation

Marktechpost

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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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Formal Interaction Model (FIM): A Mathematics-based Machine Learning Model that Formalizes How AI and Users Shape One Another

Marktechpost

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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Meta Launches Llama-3 Powered Meta AI Chatbot Assistant to Compete with ChatGPT

Marktechpost

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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Google AI Introduces SOAR: An Algorithmic Improvement to Vector Search that Introduces Effective and Low-Overhead Redundancy to ScaNN

Marktechpost

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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ReffAKD: A Machine Learning Method for Generating Soft Labels to Facilitate Knowledge Distillation in Student Models

Marktechpost

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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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.