Skocz do zawartości

Aktywacja nowych użytkowników
Zakazane produkcje

  • advertisement_alt
  • advertisement_alt
  • advertisement_alt

Znajdź zawartość

Wyświetlanie wyników dla tagów 'adapt' .



Więcej opcji wyszukiwania

  • Wyszukaj za pomocą tagów

    Wpisz tagi, oddzielając je przecinkami.
  • Wyszukaj przy użyciu nazwy użytkownika

Typ zawartości


Forum

  • DarkSiders
    • Regulamin
    • Dołącz do Ekipy forum jako
    • Ogłoszenia
    • Propozycje i pytania
    • Help
    • Poradniki / Tutoriale
    • Wszystko o nas
  • Poszukiwania / prośby
    • Generowanie linków
    • Szukam
  • DSTeam no Limits (serwery bez limitów!)
  • Download
    • Kolekcje
    • Filmy
    • Muzyka
    • Gry
    • Programy
    • Ebooki
    • GSM
    • Erotyka
    • Inne
  • Hydepark
  • Archiwum
  • UPandDOWN-Lader Tematy

Szukaj wyników w...

Znajdź wyniki, które zawierają...


Data utworzenia

  • Od tej daty

    Do tej daty


Ostatnia aktualizacja

  • Od tej daty

    Do tej daty


Filtruj po ilości...

Dołączył

  • Od tej daty

    Do tej daty


Grupa podstawowa


AIM


MSN


Website URL


ICQ


Yahoo


Jabber


Skype


AIM


MSN


Website URL


ICQ


Yahoo


Jabber


Skype


Gadu Gadu


Skąd


Interests


Interests


Polecający

Znaleziono 2 wyniki

  1. Free Download Mastering Genai - Fine-Tune & Adapt Llms Effectively Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1006.46 MB | Duration: 1h 7m Harness Advanced Techniques in AI: From Fine-Tuning to Ethical Deployment and Optimization What you'll learn Understand and describe the architecture of Generative AI models like GPT and BERT. Apply fine-tuning methods to adapt LLMs to specific tasks and industries. Evaluate and optimize LLM performance through advanced techniques Implement ethical guidelines and best practices in the deployment of GenAI models Requirements Basic understanding of AI concepts and terminology; no advanced technical skills required. Familiarity with Python programming to follow along with coding demos and exercises. Description Explore the cutting-edge field of Generative AI with our course, 'Mastering GenAI: Fine-Tune & Adapt LLMs Effectively.' Designed for professionals and enthusiasts alike, this course offers a deep dive into the mechanisms of large language models such as GPT and BERT. You'll learn how to fine-tune these models to meet specific requirements, ensuring they perform optimally across various industries.Through a mix of theoretical insights and practical exercises, parti[beeep]nts will explore different fine-tuning techniques including supervised, unsupervised, and reinforcement learning methods. The course will also address the critical aspects of model optimization, such as hyperparameter tuning and avoiding overfitting, to enhance both efficiency and accuracy.A significant focus will be on the ethical deployment of these technologies. You'll learn to navigate the complexities of AI ethics, ensuring your AI solutions are fair and equitable. This course will prepare you to effectively adapt and deploy AI models, making you a valuable asset in any tech-driven industry.By the end of this course, parti[beeep]nts will not only understand the theoretical underpinnings of generative AI but also be proficient in implementing and optimizing these models in a practical, ethical, and efficient manner. Whether you're looking to innovate within your organization, kickstart a career in AI, or academically explore AI technologies, this course will serve as a vital stepping stone to achieving those goals. Overview Section 1: Introduction Lecture 1 What is Gen AI ? Lecture 2 What are LLMs ? Section 2: Real-world Large Language Models Lecture 3 Decision Making: Build, Purchase, or Enhance Lecture 4 Introduction to Zero-shot Classification Lecture 5 Demonstrating a Proof of Concept Lecture 6 Essentials of Training and Fine-tuning Section 3: Fine-tuning Techniques for LLMs Lecture 7 Training and Fine-tuning Lecture 8 Supervised Fine-tuning vs. Parameter Efficient Fine-tunin Lecture 9 Approaches to Fine-tuning Lecture 10 Reinforcement learning from human feedback This course is ideal for AI enthusiasts, data scientists, and developers interested in extending their expertise into the realm of fine-tuning and adapting large language models,Suitable for IT professionals looking to leverage GenAI for improving business processes and creating innovative solutions.,Perfect for academic researchers and students in computer science who want practical experience with state-of-the-art AI technologies.,Security architects and engineers who aim to understand the cybersecurity implications of deploying generative AI models in their operations. Homepage https://www.udemy.com/course/fine-tuning-and-adapting-genai-models/ Rapidgator https://rg.to/file/67d204c8d2478aefbe5e4b8e60c55482/ezmxr.Mastering.Genai.FineTune..Adapt.Llms.Effectively.part1.rar.html https://rg.to/file/63884c75c2442f161a951af07e9588ef/ezmxr.Mastering.Genai.FineTune..Adapt.Llms.Effectively.part2.rar.html Fikper Free Download https://fikper.com/8vPTUwz27k/ezmxr.Mastering.Genai.FineTune..Adapt.Llms.Effectively.part1.rar.html https://fikper.com/kXOripHkgH/ezmxr.Mastering.Genai.FineTune..Adapt.Llms.Effectively.part2.rar.html No Password - Links are Interchangeable
  2. ADAPT-Builder 2015.0 | 179.3 mb ADAPT Company, delivery leading structural engineering software, consulting services, and professional training programs to structural design professionals worldwide, announces the release of ADAPT-Builder 2015 is a comprehensive and integrated solution for the analysis and design of post-tensioned and conventional concrete floor systems and beams. ADAPT-Builder 2015 is a major release that delivers significant workflow improvements for our clients that design concrete structures. The increased productivity gains address a wide range of project delivery steps starting with preliminary load takedown to the detailed design and code check of columns. Builder's unique capability of supporting both global lateral analysis and detailed slab design in one model has been streamlined to allow for even easier interoperability between these analysis modes. A summary of new features includes: - Tributary-based load takedown - Ability to apply load takedown on foundation or slab runs - Integrated column design (requires additional license) - Option to design columns using tributary or FEM forces - Display of analysis and design results on model - Lightning fast save times - up to 75x reduction of time - Revit Structure 2015 compatibility - And much more... About ADAPT Company For 30 years, ADAPT has delivered leading structural engineering software, consulting services, and professional training programs to structural design professionals worldwide. From our headquarters in California and through our network of Associates and Authorized Distributors, ADAPT serves more than 5,000 customers in over 85 countries. Our customers have successfully relied on ADAPT software and services to more productively and accurately design hundreds of bridges and millions of square feet of buildings, resulting in fewer errors, improved quality and accuracy, and better projects overall. We provide a wide range of reliable and easy-to-use structural analysis software solutions for the design of building and bridge structures; these include ADAPT-PT, RC, FELT, PULT, BUILDER suite, Modeler/3D, Floor Pro, SOG, MAT and ABI. Name: ADAPT-Builder Version: 2015 build 2015.0.032515 Home: www.adaptsoft.com Interface: english OS: Windows XP / Vista / 7even / 8 / 8.1 Size: 179.3 mb Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me Download ( NitroFlare ) http://nitroflare.com/view/D28944C64AB5A7D/u7mj4.ADAPTBuilder.2015.0.rar Download ( Uploaded http://uploaded.net/file/qkvksuva/u7mj4.ADAPTBuilder.2015.0.rar Download ( Rapidgator ) http://rapidgator.net/file/4a44e5f70a5f1f27e18858dd8a2d9a98/u7mj4.ADAPTBuilder.2015.0.rar.html Download ( Uploadable ) http://www.uploadable.ch/file/zB5ep8wevmX7/u7mj4.ADAPTBuilder.2015.0.rar Download (Turbobit) http://turbobit.net/lc7tnmvihdrb/u7mj4.ADAPTBuilder.2015.0.rar.html
×
×
  • Dodaj nową pozycję...

Powiadomienie o plikach cookie

Korzystając z tej witryny, wyrażasz zgodę na nasze Warunki użytkowania.