Yeah most agents treat skills as static
@sumanth_077
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Follow Sumanth for AI Engineering Insights and Tutorials
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If you found it useful, reshare it with your network Follow me → @Sumanth_077 for more insights and tutorials on AI Engineering!
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Hermes Agent: Self-Improving AI with Cross-Session Memory
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The self-improving AI agent from Nous Research! Hermes Agent is a self-improving AI agent that builds skills from your work, improves them over time, and remembers across sessions. Most AI agents reset every conversation. You teach them your codebase structure, they forget. You
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Accelerating LLM Fine-tuning with Open Source Libraries
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Fine-tuning massive LLMs used to be painfully slow, but not anymore! 4 open source libraries that accelerate fine-tuning of Large Language Models 1. Unsloth AI • Fine-tune models like Qwen3, Llama 4, and Gemma 3 up to 2× faster with 70% less VRAM
• Uses optimized Triton -
Drift Detection Prevents Production Model Failures
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Glad it resonated, the drift detection catches breaks before production which is critical
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Advanced Document Extraction with AI Transforms Data Processing
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Document extraction will never be the same! Traditional document extraction pipelines break on long and complex documents. You process a 100-page contract. Split it into chunks. Extract data from each chunk separately. Stitch the results back together manually. A table spanning
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Quantized Model Runs on 3GB Memory Requirements
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16GB for the full model, but the quantized version runs on ~3GB
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Voxtral 4B Model: Advanced Text-to-Speech AI Release
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Voxtral 4B Model: https://
huggingface.co/mistralai/Voxt
ral-4B-TTS-2603
… You can also try it here: https://
console.mistral.ai/build/audio/te
xt-to-speech/?utm_source=sumanth&utm_medium=x&utm_campaign=audio
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Mistral Open Sources Voxtral TTS Voice Cloning Model
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Clone any voice with just a 3-second audio clip! Mistral just open sourced Voxtral TTS, a text-to-speech model that clones voices from 3 seconds of audio and runs on edge devices. Here's what makes it different. Most TTS models need cloud GPUs and long audio samples. Voxtral
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Custom Kernels Reduce GPU Memory Requirements for AI Models
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Yeah the custom kernels make the difference, most setups need 15-20GB for similar models