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
Pricing for LLM Server
Use Cases for LLM Server
FAQs for LLM Server
Reviews for LLM Server
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for LLM Server
Autogen streamlines large language model application development with its high-level abstraction framework and optimized API, while fostering community collaboration for ongoing improvement.
Learn to leverage Generative AI for automation, software development, and optimizing outputs with Prompt Engineering.
Learn to use the latest LLM APIs, the LangChain Expression Language (LCEL), and develop a conversational agent.
Explore LLM potential, address limitations, devise business strategies, and stay updated on LLM trends for effective implementation in business operations.
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.
Define Large Language Models and their use cases, explain prompt tuning, and overview tools for Gen AI development at Google.
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.
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.
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.
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.
Featured Tools
In order to facilitate effective learning, this course provides learners with the necessary skills to develop scalable and resilient ML solutions on AWS, combining theory and practical experience.
Learn how to incorporate AI technologies into platform business models to take the lead in the current competitive environment.
Learn the ability to employ machine learning techniques to resolve classification, regression, forecasting, and clustering issues in business settings.
An overview of machine learning for business applications is provided in this course, which instructs participants on the development and utilization of ML models with BigQuery.
Improve proficiency in optimizing LLMs by instruction-tuning, RLHF, DPO, and PPO utilizing Hugging Face to enhance model efficacy.