Introduction to LLM
Total of 4 articles available.
Currently on page 1 of 1.
6.2 Simple Python Experiments with LLMs
A preview from Chapter 6.2: Learn how to run large language models with Hugging Face, OpenAI, Google Cloud, and Azure using just Python and a few lines of code.
2024-10-05
6.0 Hands-On with LLMs
A preview from Chapter 6: Learn how to run large language models yourself with open-source libraries, cloud APIs, and Python—making LLMs accessible to everyone.
2024-10-02
5.3 Real-Time Deployment Challenges
A preview from Chapter 5.3: Explore latency, scalability, and optimization techniques for deploying large language models in real-time applications.
2024-10-01
5.2 Compute Resources and Cost
A preview from Chapter 5.2: Learn why LLMs demand massive compute power, what drives cost, and practical strategies to optimize performance and sustainability.
2024-09-30
Category
Tags
Search History
interface do usuário 1031
Aufgabenverwaltung 1030
améliorations 1022
2FA 994
modèles de tâches 993
Produktivität 987
búsqueda de tareas 987
colaboración 986
atualizações 973
interfaz de usuario 972
language support 968
AI-powered solutions 965
ActionBridge 922
joindre des fichiers 919
Aufgaben suchen 911
anexar arquivos 896
busca de tarefas 896
Aufgabenmanagement 889
Teamaufgaben 884
new features 884
Transformer 882
Version 1.1.0 881
feedback automation 870
interface utilisateur 870
modelos de tarefas 862
Two-Factor Authentication 846
customer data 838
CS data analysis 832
Google Maps review integration 825
mentions feature 790
Authors
SHO
CTO of Receipt Roller Inc., he builds innovative AI solutions and writes to make large language models more understandable, sharing both practical uses and behind-the-scenes insights.