PanMate · AI
中文
Back to knowledge base

Large Language Models

From zero to one: concepts, parameters, selection and applied practice of LLMs

0/27 lessons live
01 · Getting Started9 lessons
  1. 01LLM Course OverviewComing soon
  2. 02AI, AGI and AIGCComing soon
  3. 03History of LLMsComing soon
  4. 04What Can LLMs Do?Coming soon
  5. 05Closed-Source ModelsComing soon
  6. 06Open-Source ModelsComing soon
  7. 07General vs Reasoning ModelsComing soon
  8. 08Capabilities and LimitsComing soon
  9. 09How to Choose an LLMComing soon
02 · Core Concepts9 lessons
  1. 01What Is a TokenComing soon
  2. 02Token Counting and PricingComing soon
  3. 03Context WindowComing soon
  4. 04Prompt and CompletionComing soon
  5. 05LLM HallucinationComing soon
  6. 06Emergent AbilitiesComing soon
  7. 07Multimodal ModelsComing soon
  8. 08Data Privacy and SecurityComing soon
  9. 09LLM API KeysComing soon
03 · Model Parameters5 lessons
  1. 01The Temperature ParameterComing soon
  2. 02Top-P and Top-KComing soon
  3. 03Frequency and Presence PenaltyComing soon
  4. 04Max Output TokensComing soon
  5. 05Seed and ReproducibilityComing soon
04 · Applied Practice4 lessons
  1. 01Function CallingComing soon
  2. 02Introduction to EmbeddingsComing soon
  3. 03A First Look at RAGComing soon
  4. 04A First Look at AgentsComing soon

Lessons are released continuously. Published lessons are ready to read.