Updates and recent posts about Ollama..

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Activity

@kaptain added a new tool Hadolint , 6 months, 2 weeks ago.

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@varbear added a new tool Bandit , 6 months, 2 weeks ago.

Activity

@devopslinks added a new tool JFrog Xray , 6 months, 2 weeks ago.

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@devopslinks added a new tool OWASP Dependency-Check , 6 months, 2 weeks ago.

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@varbear added a new tool pre-commit , 6 months, 2 weeks ago.

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@devopslinks added a new tool GitGuardian , 6 months, 2 weeks ago.

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@devopslinks added a new tool detect-secrets , 6 months, 2 weeks ago.

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@devopslinks added a new tool Gitleaks , 6 months, 2 weeks ago.

Course

@eon01 published a course, 6 months, 2 weeks ago

Founder, FAUN.dev

DevSecOps in Practice

#AppSec #DevOps #DevSecO... #SecDevO... #Securit...

A Hands-On Guide to Operationalizing DevSecOps at Scale

Story

@tairascott shared a post, 6 months, 2 weeks ago

AI Expert and Consultant, Trigma

How Do Large Language Models (LLMs) Work? An In-Depth Look

#LLMs

Discover how Large Language Models work through a clear and human centered explanation. Learn about training, reasoning, and real world applications including Agentic AI development and LLM powered solutions from Trigma.

Ollama is an open source tool for running large language models locally on your own machine. It packages model weights, configuration, and a runtime into a single binary with a simple CLI, letting developers pull and run models like Llama, Mistral, or Qwen with one command (`ollama run <model>`). It exposes an HTTP API compatible with parts of the OpenAI spec, which makes it easy to swap into existing tooling. Ollama is one of the most popular entry points for local LLM inference, particularly on macOS and Linux developer machines.