Sat.Jul 06, 2024

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How to Interview and Hire ML/AI engineers

Eugene Yan

What to interview for, how to structure the phone screen, interview loop, and debrief, and a few tips.

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Arcee AI Introduces Arcee Agent: A Cutting-Edge 7B Parameter Language Model Specifically Designed for Function Calling and Tool Use

Marktechpost

Arcee AI has recently released its latest innovation, the Arcee Agent , a state-of-the-art 7 billion parameter language model. This model is designed for function calling and tool usage, providing developers, researchers, and businesses with an efficient and powerful AI solution. Despite its smaller size compared to larger language models, the Arcee Agent excels in performance, making it an ideal choice for sophisticated AI-driven applications without the hefty computational demands.

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Introduction to Kafka Tiered Storage at Uber

Uber ML

Kafka Tiered Storage, developed in collaboration with the Apache Kafka community, introduces the separation of storage and processing in brokers, significantly improving the scalability, reliability, and efficiency of Kafka clusters.

ML 72
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This AI Paper from NYU and Meta AI Introduces LIFT: Length-Instruction Fine-Tuning for Enhanced Control and Quality in Instruction-Following LLMs

Marktechpost

Artificial intelligence (AI) has significantly advanced with the development of large language models (LLMs) that follow user instructions. These models aim to provide accurate and relevant responses to human queries, often requiring fine-tuning to enhance their performance in various applications, such as customer service, information retrieval, and content generation.

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The AI Superhero Approach to Product Management

Speaker: Conrado Morlan

In this engaging and witty talk, we’ll explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. Using the lens of a superhero narrative, we’ll uncover how AI can be the ultimate sidekick, aiding in decision-making, enhancing productivity, and boosting innovation. Attendees will leave with practical tools and actionable insights, motivated to embrace AI and leverage its potential in their work. 🦸 🏢 Key objectives:

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Selective Column Reduction for DataLake Storage Cost Efficiency

Uber ML

Discover how Uber is revolutionizing data storage efficiency, cutting costs and boosting rewriting performance by 9-27x with an innovative approach to selective column reduction in Apache Parquet files.

ML 57

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Unified Session for Analytical Events

Uber ML

Discover our journey in designing a new analytical session definition and successfully migrating thousands of tables, bringing data metric parity to our organization–a scalable and robust architecture, capable of managing 45M session life cycles per day.

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DeepSeek AI Researchers Propose Expert-Specialized Fine-Tuning, or ESFT to Reduce Memory by up to 90% and Time by up to 30%

Marktechpost

Natural language processing is advancing rapidly, focusing on optimizing large language models (LLMs) for specific tasks. These models, often containing billions of parameters, pose a significant challenge in customization. The aim is to develop efficient and better methods for fine-tuning these models to specific downstream tasks without prohibitive computational costs.

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Accelerating Advertising Optimization: Unleashing the Power of Ads Simulation

Uber ML

Discover how Uber Eats built an end-to-end, real-world scale, versatile, and accurate simulation environment, accelerating the optimization of ad strategies and algorithms, all without burning through real money.

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A Comprehensive Guide to Fine-Tuning ChatGPT for Your Business

Marktechpost

Businesses continually seek ways to leverage AI to enhance their operations. One of the most impactful applications of AI is conversational agents, with OpenAI’s ChatGPT standing out as a leading tool. However, to maximize its potential, businesses often need to fine-tune ChatGPT to meet their specific needs. This guide delves into the process of fine-tuning ChatGPT, offering valuable insights for businesses aiming to optimize their AI capabilities.

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Provide Real Value in Your Applications with Data and Analytics

The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.

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Kafka Tiered Storage from Uber

Bugra Akyildiz

Articles Kafka proposes a new extension to Kafka called Kafka Tiered Storage(KTS) in their blog post , a solution aimed at improving Apache Kafka's storage capabilities and efficiency. The proposal addresses several challenges associated with Kafka's current storage model and introduces a new architecture to enhance scalability, efficiency, and operational costs.

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Meet SpiceAI: A Portable Runtime Offering Developers a Unified SQL Interface to Materialize, Accelerate, and Query Data from any Database, Data Warehouse, or Data Lake

Marktechpost

The demand for speed and efficiency is ever-increasing in the rapidly evolving landscape of cloud applications. Cloud-hosted applications often rely on various data sources, including knowledge bases stored in S3, structured data in SQL databases, and embeddings in vector stores. When a client interacts with such applications, data must be fetched from these diverse sources over the network.

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Exploring the Influence of AI-Based Recommenders on Human Behavior: Methodologies, Outcomes, and Future Research Directions

Marktechpost

Given their ubiquitous presence across various online platforms, the influence of AI-based recommenders on human behavior has become an important field of study. The survey by researchers from the Institute of Information Science and Technologies at the National Research Council (ISTI-CNR), Scuola Normale Superiore of Pisa, and the University of Pisa delve into the methodologies employed to understand this impact, the observed outcomes, and potential future research directions.

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Safeguarding Healthcare AI: Exposing and Addressing LLM Manipulation Risks

Marktechpost

Large Language Models (LLMs) like ChatGPT and GPT-4 have made significant strides in AI research, outperforming previous state-of-the-art methods across various benchmarks. These models show great potential in healthcare, offering advanced tools to enhance efficiency through natural language understanding and response. However, the integration of LLMs into biomedical and healthcare applications faces a critical challenge: their vulnerability to malicious manipulation.

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Demystifying DAPs: A Practical Guide to Digital Adoption Success

Speaker: Pulkit Agrawal

Digital Adoption Platforms (DAPs) are revolutionizing the way organizations interact with and optimize their software applications. As digital transformation continues to accelerate, DAPs have become essential tools for enhancing user engagement and software efficiency. This session is your guide into the robust world of DAPs, exploring their origins, evolution, and the current trends shaping their development.

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Salesforce AI Research Introduces SummHay: A Robust AI Benchmark for Evaluating Long-Context Summarization in LLMs and RAG Systems

Marktechpost

Natural language processing (NLP) in artificial intelligence focuses on enabling machines to understand and generate human language. This field encompasses a variety of tasks, including language translation, sentiment analysis, and text summarization. In recent years, significant advancements have been made, leading to the development of large language models (LLMs) that can process vast amounts of text.

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Meta 3D Gen: A state-of-the-art Text-to-3D Asset Generation Pipeline with Speed, Precision, and Superior Quality for Immersive Applications

Marktechpost

Text-to-3D generation is an innovative field that creates three-dimensional content from textual descriptions. This technology is crucial in various industries, such as video games, augmented reality (AR), and virtual reality (VR), where high-quality 3D assets are essential for creating immersive experiences. The challenge lies in generating realistic and detailed 3D models that meet artistic standards while ensuring computational efficiency.

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MInference (Milliontokens Inference): A Training-Free Efficient Method for the Pre-Filling Stage of Long-Context LLMs Based on Dynamic Sparse Attention

Marktechpost

The computational demands of LLMs, particularly with long prompts, hinder their practical use due to the quadratic complexity of the attention mechanism. For instance, processing a one million-token prompt with an eight-billion-parameter LLM on a single A100 GPU takes about 30 minutes for the initial stage. This leads to significant delays before the model starts generating outputs.

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