Найденные страницы с тегом bayesian optimization всего 17519

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#supply-chain-optimization stories | HackerNoon

Read the latest supply-chain-optimization stories on HackerNoon, where 10k+ technologists publish stories for 4M+ monthly readers.

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3 Research-Driven Advanced Prompting Techniques for LLM Efficiency and Speed Optimization - KDnuggets

This article has explored three promising prompting techniques that have been developed to reduce the occurrence of hallucinations in large language models.

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Master Facebook Advertising: Practical Tips & Resources | How to Eat Facebook Ads for Dinner

Unlock the secrets of Facebook advertising with our online course! Learn practical tips, optimization techniques, and gain access to downloadable resources. Perfect for small business owners and entrepreneurs.

Final Fantasy XVI PC Port in “Final Stages of Optimization,” Requirements to be Fairly High

It sounds like the PC version of Final Fantasy XVI isn't too far away, so get your rigs ready, because it will be a demanding one.

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Novel optimization tool allows for better video motion estimation

Cornell researchers have developed a new optimization tool to estimate motion throughout an input video, which has potential applications in video editing and generative AI video creation.

Federica Baiada, Author at Search Engine Land

Federica is a Senior Technical SEO specialist at Merkle EMEA, collaborating with clients to support achieving their marketing objectives through agile SEO strategies. She specialises in on-page and technical optimization techniques for websites spanning diverse industries, including finance, public organizations, and telecommunications. In her spare time, Federica enjoys staying up to date with Tech & Automation news as well as going for long walks in nature to recharge after work.

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Novel quantum algorithm proposed for high-quality solutions to combinatorial optimization problems

Combinatorial optimization problems (COPs) have applications in many different fields such as logistics, supply chain management, machine learning, material design and drug discovery, among others, for finding the optimal ...

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Prompt Engineering - ANALYZE SEO Prompt

Prompt Engineering - ANALYZE SEO Prompt - Using the ANALYZE SEO directive, we can leverage ChatGPT's capabilities to analyze and provide insights on search engine optimization (SEO) strategies. This technique empowers us to tap into ChatGPT's knowledge and expertise to enhance website visibility and performance in search engine rankings.

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Tuning and Optimization Techniques

Tuning and Optimization Techniques - In this chapter, we will explore tuning and optimization techniques for prompt engineering. Fine-tuning prompts and optimizing interactions with language models are crucial steps to achieve the desired behavior and enhance the performance of AI models like ChatGPT.

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Optimizing Prompt-based Models

Optimizing Prompt-based Models - In this chapter, we will delve into the strategies and techniques to optimize prompt-based models for improved performance and efficiency. Prompt engineering plays a significant role in fine-tuning language models, and by employing optimization methods, prompt engineers can enhance model responsiven

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ChatGPT – For SEO

ChatGPT – For SEO - SEO stands for Search Engine Optimization. It's a set of practices and strategies that website owners and marketers use to improve the visibility of a website on search engines like Google, Bing, or Yahoo. It offers a range of tools such as keyword research and analysis, automation and reporting, op

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ChatGPT – For Code Writing

ChatGPT – For Code Writing - ChatGPT can serve as a versatile companion and assist developers in various coding tasks such as generating code snippets, bug fixing, code optimization, rapid prototyping, and translating code between languages. This chapter will guide you, through practical examples in Python using the OpenAI API,

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TinyDB - Caching Query

TinyDB - Caching Query - Catching query is an advanced feature of TinyDB with the help of which it caches the query result for performance optimization. In this way, when we run the same query again, TinyDB doesn't need to read the data from the storage. We can pass the cache_size to the table function to optimize the query

MongoDB For Programmers | Luxoft Training

This course delves into topics crucial for professional MongoDB use in practice, such as documenting NoSQL schemas, data indexing and optimization, transacti…

Valencia-based Imperia raises €3 million to become the go-to SaaS for supply chain management in Europe | EU-Startups

Imperia, a Spanish SaaS solution for the management and optimization of supply chain, announced the closure of a €3 million funding round. This round is

SEO Experts: Prepare For Search Generative Experience With “Search Experience Optimization”

Learn from four SEO experts about what impact user-facing AI features could have on SEO and how you can be prepared.

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Optimization and best practices - Mesh shaders on AMD RDNA™ graphics cards - AMD GPUOpen

The second post in this series on mesh shaders covers best practices for writing mesh and amplification shaders, as well as how to use the AMD Radeon™ Developer Tool Suite to profile and optimize mesh shaders.

GDC 2024: Work graphs, mesh shaders, FidelityFX™, dev tools, CPU optimization, and more. - AMD GPUOpen

Our GDC 2024 presentations this year include work graphs, mesh shaders, AMD FSR 3, GI with AMD FidelityFX Brixelizer, AMD Ryzen optimization, RGD, RDTS, and GPU Reshape!

App store optimization: 8 tips to leverage your SEO research skills

Adapt your SEO skills to optimize mobile apps for better discoverability and downloads in the Apple App Store and Google Play Store.

Artificial Intelligence Optimization (AIO) news, analysis, trends, tactics and how-to guides from Search Engine Land

Artificial Intelligence Optimization (AIO) news, analysis, trends, tactics, and how-to guides from Search Engine Land, the publication SEO & PPC pros rely on.

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How to List Running Processes in Linux

Tutorial on the commands to list the running processes in Linux to maintain the system health, troubleshoot the errors, system optimization, and security.

Pessimistic off-policy multi-objective optimization - Amazon Science

Multi-objective optimization is a class of optimization problems with multiple conflicting objectives. We study offline optimization of multi-objective policies from data collected by a previously deployed policy. We propose a pessimistic estimator for policy values that can be easily plugged into…

Krylov cubic regularized Newton: A subspace second-order method with dimension-free convergence rate - Amazon Science

Second-order optimization methods, such as cubic regularized Newton methods, are known for their rapid convergence rates; nevertheless, they become impractical in high-dimensional problems due to their substantial memory requirements and computational costs. One promising approach is to execute…

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