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Here are 5 small language models that hare one important trait: they all support structured tool calling in a compact, open-weight package.
Here are 5 small language models that hare one important trait: they all support structured tool calling in a compact, open-weight package.
Large language models (LLMs) are AI systems offered by LLM providers that process vast amounts of data to generate humanlike responses to natural language inputs. They are foundati...
Merge LLMs easily with Unsloth Studio's no-code GUI and combine models without retraining.
In this article, we will go deep under the hood of Ollama's configuration engine, exploring how to fine-tune local language model parameters.
Hierarchical Pattern Learning for Hallucination-Free Text GenerationContinue reading on Medium »
From tokenisation to evaluation — how modern language models actually work in practiceContinue reading on Towards AI »
From tokenisation to evaluation :  how modern language models actually work in practice The post The Must-Know Topics for an LLM Engineer appeared first on Towards Data Scien...
IDI / Mental Model || What is it? Each person has their own mental model that represents the way they think, feel and/or behave in regards to everything. They are based on beli...
These ares seven unconventional uses of LLMs that go far beyond usual chat interface and conversations.
Post-training methods (RLVR, On-policy distillation) are Episode-local Language models are getting better at learning from feedback during post-training. In reinforcement learning...
Until recently, many people viewed large language models (LLMs) largely as toys interesting to look at but not very practical in a business setting. However, that perception has be...
What if a language model had never heard of the internet, smartphones, or even World War II? That’s not a hypothetical — it’s exactly what a team of researchers led by Nick Levine,...
Working with LLMs in Practice Large Language Models are becoming part of everyday data science work. But using them through chat interfaces is only one part of the picture. In this...
What is llm-d? llm-d is an open source solution for managing high-scale, high-performance Large Language Model (LLM) deployments. LLMs are at the heart of generative AI – so when y...
Running large language models locally has never been easier, thanks to Ollama. Whether you’re a developer experimenting with AI or simply…Continue reading on Medium »
General Large Language Models (LLMs) such as ChatGPT, Gemini, Claude, and DeepSeek, and even field-specialised models, are being widely used in almost every sector, including healt...
Large Language Models ExplainedContinue reading on Medium »
Most RAG tutorials focus on retrieval or prompting. The real problem starts when context grows. This article shows a full context engineering system built in pure Python that contr...
Pity the poor large language model!
Modern large language models are no longer trained only on raw internet text. Increasingly, companies are using powerful “teacher” models to help train smaller or more efficient “s...
I have been running local models as part of my daily workflow for some time, and what surprised me most is how often local turned out to be the better choice, not a compromise.
I have been running local models as part of my daily workflow for some time, and what surprised me most is how often local turned out to be the better choice, not a compromise.
Most LLM evaluation systems rely on vague scoring and human judgment disguised as metrics. I built a lightweight evaluation layer in pure Python that turns LLM outputs into reprodu...
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