Tag: Fine

Robotic Grasping and Fine Manipulation


Free Download Robotic Grasping and Fine Manipulation by Mark R. Cutkosky
English | PDF | 1985 | 190 Pages | ISBN : 1468468936 | 13.1 MB
When a person picks up a metal part and clamps it in the chuck of a lathe, he begins with his arm, proceeds with his wrist and finishes with his fingers. The arm brings the part near the chuck. The wrist positions the part, giving it the proper orientation to slide in. After the part is inserted, the wrist and fingers make tiny corrections to ensure that it is correctly seated. Today’s robot attempting the same operations is at a grave disadvantage if it has to make all motions with the arm. The following work investigates the use of robotic wrists and hands to help industrial robots perform the fine motions needed in a metal working cell. Chapters 1 and 2 are an introduction to the field and a review of previous investigations on related subjects. Little work has been done on grasping and fine manipulation with a robot hand or wrist, but the related subjects of robot arm dynamics and control have an extensive literature.

(more…)

Atlas of Fine Needle Aspiration Cytology


Free Download Atlas of Fine Needle Aspiration Cytology by Henryk A. Domanski
English | PDF | 2019 | 709 Pages | ISBN : 3319769790 | 141.1 MB
This updated and expanded second edition covers all of the diagnostic areas where FNAC is used today. Each chapter follows a similar, practical format: diagnostic criteria with an emphasis of differential diagnoses; diagnostic problems and pitfalls; and relevant findings of ancillary methods. Authoritative discussions will reflect accepted international viewpoints. The interaction of the cytologist or cytopathologist with other specialists (radiologists, oncologists and surgeons) is emphasized and illustrated throughout.

(more…)

Fine-Tuning for LLMs from Beginner to Advanced

[[img]https://www.hostpic.org/images/2108190959550088.jpg[/img]
Free Download Fine-Tuning for LLMs from Beginner to Advanced
Released: 09/2024
Duration: 3h 25m | .MP4 1280×720, 30 fps(r) | AAC, 48000 Hz, 2ch | 525 MB
Level: Advanced | Genre: eLearning | Language: English
This course capitalizes on the latest advancements in Large Language Models (LLMs) like FLAN-T5, enabling professionals to harness these tools effectively in the rapidly-evolving AI landscape. Instructor Axel Sirota helps you establish a strong foundation in the basics of LLMs, exploring their architecture, evolution, and role in the current AI landscape. Delve into prompt engineering and learn how to craft effective prompts that guide LLM outputs for specific tasks. Then deep dive into transfer learning and PEFT fine-tuning using LoRA and find out how to adapt and optimize LLMs for varied NLP tasks. Each course section comprises live-action clips, slides, and demos, as well as real-world challenges covering prompt engineering, transfer learning, and fine-tuning techniques to enhance FLAN-T5’s capabilities. Plus, you’ll complete a final project focused on building an NLP solution encompassing sentiment analysis, text summarization, and question answering.

(more…)

Improving Retrieval with RAG Fine-tuning


Free Download Improving Retrieval with RAG Fine-tuning
Published 8/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 48 KHz
Language: English | Size: 75.50 MB | Duration: 20m 9s
Learn effective ways to adapt and optimize RAG models. This course will teach techniques for Fine-tuning RAG models using different methods, such as task-specific, domain adaptation, and multi-task fine-tuning.

(more…)

Fine Tune LLMs OPENAI


Free Download Fine Tune LLMs OPENAI
Published 7/2024
Created by Rahul Kumar
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 25 Lectures ( 3h 49m ) | Size: 2.1 GB

(more…)