Demo 4: llama-Server AI Android App+Qwen2.5-Coder-3B GGUF (taken base llama-Android Example) with Enhancement via AI Coding to run GGUF model and Serve as Server for AI Agents and Other Android App
Demo 3: llama-Server AI Android App+Qwen3.5-9B GGUF(Text GGUF only)(taken base llama-Android Example) with Enhancement via AI Coding to run GGUF model and Serve as Server for AI Agents and Other Android App (demo speed is 10x-long response by Qwen3.5-9B(15 Minutes).
Demo 2: llama-Server AI Android App+Qwen3-VL-8B GGUF(Text GGUF only)(taken base llama-Android Example) with Enhancement via AI Coding to run GGUF model and Serve as Server for AI Agents and Other Android App (demo speed is 10x-long response by Qwen3-VL-8B(15 Minutes).
Demo 1: llama-Server AI Android App+Smollm3 GGUF(taken base llama-Android Example) with Enhancement via AI Coding to run GGUF model and Serve as Server for AI Agents and Other Android App.
Preview-01:AI-NLP+Apache Zeppelin Powered with Qwen3-VL-8B+llama-Server to Talk with databases in natural language and Faster Response.
(Preview 14-Custom Code UI-AI-Dataset-NLP)-Apache Superset (AI-Chat-Custom Page)(Ask to Create Chart from Dataset in Natural language within AI Chat inline)-Powered with llama-Server & Qwen3-VL-4B. (Kindly note for more accuracy we need to use higher model)(I need to correct icons of charts in inline display)
(Preview 13-Custom Code UI-AI-Dataset-NLP)-Apache Superset (AI-Chat-Custom Page)(Ask to Find Insights about Dataset in Natural language within AI Chat inline)-Powered with llama-Server & Qwen3-VL-4B. (Kindly note for more accuracy we need to use higher model)
(Preview-Custom Code UI-AI-Dataset-NLP)-Apache Superset (AI-Chat-Custom Page)(Ask to Describe Dataset in Natural language within AI Chat inline)-Powered with llama-Server & Qwen3-VL-4B
(Preview:Custom Code UI-AI-NLP)-Apache Superset (AI-Chat-Custom Page)(Import/Export All AI Page Chats from system to system)
(Preview:Custom Code UI-AI-NLP)-Apache Superset (AI-Chat-Custom Page)(Import/Export All AI prompts from system to system)
TechnoFunctionalLearning 
You must be logged in to post a comment.