Tag: Tuning

OpenAI API Fine-Tuning


Free Download OpenAI API Fine-Tuning
Released: 04/2024
Duration: 47m | .MP4 1280×720, 30 fps(r) | AAC, 48000 Hz, 2ch | 177 MB
Level: General | Genre: eLearning | Language: English
Fine-tuning GPT models allows you to submit examples of the types of responses the AI system should provide based on user input. This is a great way of ensuring the system speaks in a voice and tone of your choosing, and eliminates the need for providing a description of the agent before each prompt.

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The Miracle of Man The Fine Tuning of Nature for Human Existence (Privileged Species Series)


Free Download The Miracle of Man: The Fine Tuning of Nature for Human Existence (Privileged Species Series) by Michael Denton
English | May 6, 2022 | ISBN: 1637120125 | 256 pages | PDF | 5.90 Mb
For years, leading scientists and science popularizers have insisted humans are nothing special in the cosmic scheme of things. In this important and provocative new book, renowned biologist Michael Denton argues otherwise. According to Denton, the cosmos is stunningly fit not just for cellular life, not just for carbon-based animal life, and not even just for air-breathing animals, but especially for bipedal, land-roving, technology-pursuing creatures of our general physiological design. In short, the cosmos is specifically fit for creatures like us. Drawing on discoveries from a myriad of scientific fields, Denton masterfully documents how contemporary science has revived humanity’s special place in nature. "The human person as revealed by modern science is no contingent assemblage of elements, an irrelevant afterthought of cosmic evolution," Denton writes. "Rather, our destiny was inscribed in the light of stars and the properties of atoms since the beginning. Now we know that all nature sings the song of man. Our seeming exile from nature is over. We now know what the medieval scholars only believed, that the underlying rationality of nature is indeed ‘manifest in human flesh.’ And with this revelation the… delusion of humankind’s irrelevance on the cosmic stage has been revoked."

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Hyperparameter Tuning with Python Boost your machine learning model’s performance via hyperparameter tuning


Free Download Hyperparameter Tuning with Python: Boost your machine learning model’s performance via hyperparameter tuning by Louis Owen
English | July 29, 2022 | ISBN: 180323587X | 306 pages | MOBI | 14 Mb
Take your machine learning models to the next level by learning how to leverage hyperparameter tuning, allowing you to control the model’s finest details

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Go – Performance Tuning and Benchmarking


Free Download Go – Performance Tuning and Benchmarking
Released: 12/2023
Duration: 35m | .MP4 1280×720, 30 fps(r) | AAC, 48000 Hz, 2ch | 82 MB
Level: Intermediate | Genre: eLearning | Language: English
If you’re an intermediate Go developer, you probably already know that benchmarking is crucial for ascertaining and maintaining the performance of your program. In this course, join instructor Ayan George to take your skills to the next level and become a performance tuning and benchmarking MVP. Explore the basics of using the Go test tool and navigating the structure of a benchmark as well as how to manage the benchmark timer, clean up with b.Cleanup(), and use table-driven and parallel benchmarks. Along the way, Ayan covers some of the pitfalls of benchmarking that can compromise overall accuracy.

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RAG Tuning LLM Models


Free Download RAG Tuning LLM Models
Published 11/2023
Created by Richard Aragon
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 7 Lectures ( 51m ) | Size: 990 MB

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Advanced SQL for Query Tuning and Performance Optimization (2023)


Free Download Advanced SQL for Query Tuning and Performance Optimization (2023)
Released 10/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Advanced | Genre: eLearning | Language: English + srt | Duration: 2h 9m | Size: 224 MB
SQL queries can be fast and highly efficient, but they can also be slow and demand excessive CPU and memory resources. For many SQL programmers, occasional bouts with long-running queries and poor performance are simply par for the course. But by gaining a better understanding of how databases translate SQL queries into execution plans, you can take steps to avoid these issues. In this course, Dan Sullivan shows you how to analyze query execution plans and use data modeling strategies to boost query performance. Dan describes how SQL queries are executed, highlights different types of indexes and how they factor in query tuning, covers several methods for performing joins, and discusses how to use partitioning and materialized views to improve performance. Plus, Dan shows you how to run PostgreSQL in GitHub Codespaces so you can get started learning faster.

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