Date: 01/30/2026
Weekly AI Favorites: Open-Source Models Tackle Real Business Tasks
Diving into practical AI for no-code/low-code workflows? Check out this eye-opening video on testing open-source LLMs for everyday business grind—like extracting action items from meeting notes. No fluff benchmarks, just real results on local hardware.
Key Highlights:
- Top Performers: Google Gemma 3B (80%) and OpenAI OSS 20B (80%) shine; Llama 3.1 8B and Qwen 3 lag at 60%.
- Strugglers: DeepSeek R1 (53%) and Mistral 7B (20%) need work.
- Setup: Local runs via LM Studio + Promptfoo, judged by Claude/GPT-4/Gemini.
- Next Up: Email drafting, doc summaries, RFP quotes, and code reviews.
Watch the full breakdown: LocalAI Bench | Join Daily AI Channel
Hardware: AMD Strix Halo w/ 128GB RAM. More phases incoming—subscribe for updates!