AI Dev Assistance Tools
Comprehensive guide to AI tools and resources: development frameworks, enterprise solutions, and industry insights for technical professionals and decision-makers
Industry Impact Overview
- Enterprise Adoption: 14 hours/week efficiency gains (EY research)
- Major impact: accounting, auditing, financial services
- Legal sector transformation underway
- Agent Development Status (2024):
- Complex implementations requiring custom LLM wrappers
- Enterprise solutions primarily in Fortune 500/ASX 100
- Industry awaiting standardized solutions
Development Tools
Tool | Type | Description | Link |
---|---|---|---|
Cerebras Playground | Interactive Playground | Open-source STT, TTS, LLM environment | Demo |
LiveKit Agent Framework | Development Framework | Real-time multimodal AI applications | GitHub |
LiteLLM | LLM Management | Universal API for LLM deployments | Docs |
Artificial Analysis | Model Comparison | AI model analysis platform | Website |
The Triad
- Llama-index: adequate for RAG and Agentic RAG applications
- AutoGen: adequate for fully or semi automated agentic applications
- LangChain: general purpose capable of RAG and agentic applications
Enterprise Solutions
Tool | Category | Use Case | Link |
---|---|---|---|
UiPath | Automation | Enterprise process automation | Cloud |
DeepL | Translation | Professional translation service | Website |
Other Resources
Resource | Type | Description | Link |
---|---|---|---|
WorldBuild.AI | Podcast/Challenge | Ideas for world-changing AI applications | Website |
LLM Token Calculator
Use this calculator to estimate token usage and costs for your AI projects:
OR
Tokens IN:0
Cost IN:$0.0000
Tokens OUT:0
Cost OUT:$0.0000
Total Cost:$0.0000
TPM Usage:0.00%
Token Explanation
1,000 tokens ≈ 750 words
1 page ≈ 500 words (single-spaced)
Instructions
- Select your model
- Costs per 1K tokens are pre-filled but can be adjusted
- Enter your TPM (Tokens Per Minute) limit if applicable
- Input either the number of words or pages
- View the estimated tokens, costs, and TPM usage
Token Measurement
IN: Tokens in the prompt/input
OUT: Tokens in the model's response
Note: The calculator assumes the output is approximately 1.5 times the input. Adjust as needed for your specific use case.
Calculation Example
For 750 words input:
• Tokens IN: 1000 (750 * 4/3)
• Tokens OUT: 1500 (1000 * 1.5)
Related Links
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