LLM Server

(0 reviews)

This course is dedicated to the setting up of GPU-based environments, the deployment of local large language models (LLMs), and their integration into Python applications utilizing open-source tools.

Key AI Functions:llm,local llm,gpu,ai & machine learning

Description

Reviews

Alternative Tools

Description for LLM Server

Understanding Trends in the GPU and LLM Markets: Examine the impact of advancements in the GPU and LLM sectors on demand and their respective applications.
Establishing Virtual Machines Equipped with GPU Capabilities: Acquire the knowledge to configure virtual machines with GPU support to facilitate the efficient execution of local large language models (LLMs).
Building Local LLM Servers: Facilitate the setup and management of local LLM servers utilizing tools such as LM Studio, which encompasses the procurement and configuration of open-source models.
Integration of Large Language Models (LLMs) with Python Applications: Leverage local LLMs to enhance Python applications and deploy LLM agents to facilitate advanced functionalities.

Level: Beginner

Certification Degree: yes

Languages the Course is Available: 1

Offered by: On edX provided by AI

Duration: 3�6 hours per week 4 weeks (approximately)

Schedule: Flexible

Reviews for LLM Server

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

Python Data Products for Predictive Analytics Specialization

Advanced ML on Google Cloud Specialization

Machine Learning Intro to Everyone

Python and ML for Asset Management

Alternative Tools for LLM Server

AutoGen

Freemium

Autogen streamlines large language model application development with its high-level abstraction framework and optimized API, while fostering community collaboration for ongoing improvement.

#ai agents #llm

GenAI An Introductory Course

Learn to leverage Generative AI for automation, software development, and optimizing outputs with Prompt Engineering.

#Artificial Intelligence (AI) #Python Programming

Functions, Tools and Agents with LangChain

Learn to use the latest LLM APIs, the LangChain Expression Language (LCEL), and develop a conversational agent.

#Python Programming #Langchain

Understanding LLM in Business

Explore LLM potential, address limitations, devise business strategies, and stay updated on LLM trends for effective implementation in business operations.

#Large Language Models #LLMs Trends

Gen AI with LLMs

Gain practical skills and foundational knowledge of generative AI, along with insights from AWS AI practitioners on how companies leverage cutting-edge technology for value generation.

#Python Programming #Machine Learning

LLMs An Introduction

Define Large Language Models and their use cases, explain prompt tuning, and overview tools for Gen AI development at Google.

#Large Language Models #LLMs

Prompt Mixer is a collaborative workstation application tailored for AI development, offering sophisticated version control, AI functionality augmentation, and secure prompt management for optimized development experiences.

#IT #hr

Vector Database Comparison

Freemium

Vector DB Comparison is a tool that simplifies the process of comparing multiple vector databases, offering features like vendor search, OSS license filtering, and multi-vector search for informed decision-making aligned with specific project needs.

#IT #hr

FriendliAI

Paid

Friendliai offers a range of AI solutions, including serverless and dedicated endpoints, container solutions, backed by transparent pricing, scalable AI engine, educational resources, and exceptional customer service.

#IT #hr

Neuralhub

Freemium

NeuralHub is a collaborative platform for AI enthusiasts, researchers, and engineers, offering an intuitive interface for constructing neural networks, visualization and tuning tools, and access to compute resources for efficient model development and experimentation.

#IT #hr

Featured Tools

Python Data Products for Predictive Analytics Specialization

This Specialization refines Python competencies for predictive analytics and the implementation of machine learning models, equipping learners for advanced positions in the AI sector.

#predictive analytics #python programming

Advanced ML on Google Cloud Specialization

Gain practical experience in optimizing, deploying, and scaling machine learning models using Google Cloud Platform through a structured five-course specialization with hands-on labs and a focus on advanced topics and recommendation systems.

#Tensorflow #Convolutional Neural Network

Practical Machine Learning

Learn to construct and implement prediction functions, understand overfitting and error rates, and grasp machine learning techniques like classification trees and regression.

#Random Forest #Machine Learning (ML) Algorithms

Machine Learning Intro to Everyone

The course's topics including the distinction between deep learning, machine learning, and artificial intelligence, the process of developing machine learning models, the difference between supervised and unsupervised learning, and the use of metrics for evaluating classification models.

#Artificial Intelligence (AI) #Reinforcement Learning

Python and ML for Asset Management

The course encompasses the fundamentals of supervised and unsupervised machine learning for financial data, as well as logistic regression, classification algorithms, investment management models, and practical implementation using Python.

#Computer Science #Investment management knowledge

Compare & Review AI Tool Directory AI Course Marketplace