Build an AI Agent (From Scratch) vs Stable Beluga
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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)Stable Beluga
Stability AI's instruction-tuned 65B LLM built on LLaMA
Stable Beluga is a 65-billion parameter language model from Stability AI, fine-tuned on LLaMA 65B using an internal Orca-style dataset to enhance instruction following. It excels at answering questions, completing writing tasks, and following complex instructions. Released under a non-commercial CC BY-NC-4.0 license, it targets researchers and developers building open-source LLM applications.
Visit Stable Beluga| Feature | Build an AI Agent (From Scratch) | Stable Beluga |
|---|---|---|
| Category | Other | Other |
| Pricing | Paid | Paid |
| Upvotes | 0 | 0 |
| Source | awesome | awesome |