Cameron Rohn points out that selecting models in Ollama can be as simple as clicking the black ‘use’ button, illustrating an intuitive developer UI fo...Show more

Tom Spencer explores the benefits of running small AI models locally on mobile devices to achieve low-latency, offline inference and improved privacy.

Cameron Rohn discusses how NVIDIA NIM provides an integrated ecosystem to streamline model fine-tuning workflows.

Tom Spencer presents Vibe Thinker, a 1.5 billion-parameter model fine-tuned from Qwen 2.5 math 1B at a total training cost of $8 k achieving reasoning...Show more

Tom Spencer recommends using Hugging Face’s model hub to explore real-world fine-tuned models as practical examples for experimentation.

Cameron Rohn candidly highlights the current uncertainty around identifying impactful AI applications and stresses the need for clearer deployment str...Show more

Tom Spencer outlines how civil and environmental engineers systematically collect and analyze survey data to assess infrastructure conditions in engin...Show more

Build a vectorization platform that converts multimodal data into embeddings, powering unified AI retrieval and reasoning services across text, images...Show more

Instead of building elaborate autonomous agents, prioritize refining existing workflows and execution quality to achieve effective AI-driven outcomes.

Implement retrieval-augmented generation and multi-chain prompting pipelines to integrate up-to-date knowledge and composable logic without fine-tunin...Show more

Offering a fine-tuning service that transforms general LLMs into tailored products reduces dependency on third-party API rentals and adds product owne...Show more

Fine-tuning models can introduce brittleness, increased cost, and maintenance overhead, making prompt-based use of pre-trained models often a more eff...Show more

Strong visual branding and emotional design play a key role in driving adoption of technical tools by creating meaningful connections with developers.

Leverage unique branding and design elements (like a sloth theme) to differentiate developer tools and foster stronger user engagement and recall.

K2 is highlighted as a new workhorse language model that integrates seamlessly with Unsloth for fine-tuning experiments in cutting-edge AI development...Show more

Unsloth is a developer tool for fine-tuning large language models with an emphasis on usability and design, providing a user-friendly interface and en...Show more

Customize fine-tuning workflows in Unsloth based on model architecture considerations, enabling tailored hyperparameter settings and module-level adju...Show more

Use Unsloth to manage end-to-end fine-tuning of language models like K2, streamlining data preparation, training loops, and evaluation in one integrat...Show more

A local open-source LLM version whose compute requirements exceed typical consumer hardware, prompting discussion on hardware-model compatibility

An open-source 20-billion-parameter large language model for local deployment, benchmarked for performance relative to proprietary offerings