Build an AI Agent (From Scratch) vs LLaMA
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Build an AI Agent (From Scratch)
Practical guide to designing and coding autonomous AI agents
This Manning Publications book provides a step-by-step approach to building autonomous AI agents that can plan, use tools, browse the web, and execute multi-step tasks. It covers agentic frameworks, memory systems, tool calling, and evaluation strategies with hands-on Python implementations. The book is aimed at developers and AI engineers who want to move from passive LLM usage to building production-ready agentic systems.
Visit Build an AI Agent (From Scratch)LLaMA
Meta's efficient foundational LLM released for open research
LLaMA (Large Language Model Meta AI) is a foundational language model released by Meta AI in sizes ranging from 7B to 65B parameters, designed to be more compute-efficient than comparable models. Despite its smaller size, LLaMA outperforms GPT-3 on many benchmarks when fine-tuned. It was released for non-commercial research use and became the base for numerous community fine-tuned models like Alpaca and Vicuna.
Visit LLaMA| Feature | Build an AI Agent (From Scratch) | LLaMA |
|---|---|---|
| Category | Other | Other |
| Pricing | Paid | Paid |
| Upvotes | 0 | 0 |
| Source | awesome | awesome |