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๐ŸŒŸ Lordog/dive-into-llms caught my eye on GitHub Trending today.

๐Ÿ”— https://github.com/Lordog/dive-into-llms
๐Ÿ“ ใ€ŠๅŠจๆ‰‹ๅญฆๅคงๆจกๅž‹Dive into LLMsใ€‹็ณปๅˆ—็ผ–็จ‹ๅฎž่ทตๆ•™็จ‹
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€

Dive into LLMs is a free, open-source tutorial series on large language models (LLMs). The project aims to provide a hands-on programming guide for LLMs, covering topics such as fine-tuning, prompting, and knowledge editing. The series includes practical exercises and real-world examples to help learners quickly get started with LLMs.

The tutorial series consists of multiple chapters, each focusing on a specific aspect of LLMs, such as:
- ๅพฎ่ฐƒไธŽ้ƒจ็ฝฒ (Fine-tuning and Deployment)
- ๆ็คบๅญฆไน ไธŽๆ€็ปด้“พ (Prompt Learning and Thought Chain)
- ็Ÿฅ่ฏ†็ผ–่พ‘ (Knowledge Editing)
- ๆ•ฐๅญฆๆŽจ็† (Mathematical Reasoning)

The project also features a new series of courses, "ๅคงๆจกๅž‹ๅผ€ๅ‘ๅ…จๆต็จ‹" (Large Model Development Full Process), developed in collaboration with Huawei's Ascend community. This series provides a comprehensive guide to developing and applying LLMs, including PPT, experiment manuals, and videos.

The tutorials are designed for students, researchers, and developers who want to learn about LLMs and their applications. The project is open to contributions and welcomes feedback and discussions.

Key takeaway: With Dive into LLMs, you can quickly dive into the world of large language models and start building your own LLM-powered projects!

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๐Ÿง  Channel: https://t.iss.one/GithubRe
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๐Ÿ“Œ Spotted on GitHub Trending: diegosouzapw/OmniRoute โ€” let's break it down.

๐Ÿ”— https://github.com/diegosouzapw/OmniRoute
๐Ÿ“ Never stop coding. Free MIT AI gateway: one endpoint, 290+ providers (90+ free), 500+ models โ€” Kimi, Claude, GPT, OpenAI, Gemini, GLM, DeepSeek, MiniMax. Works with Claude Code, Codex, Cursor, OpenCode, Cline & Copilot. Quota-aware auto-fallback, RTK+Caveman compression saves 15-95% tokens, MCP/A2A, Desktop/PWA. Built by 500+ contributors
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€

OmniRoute is a free AI gateway that connects to 250 AI providers, with 90+ free tiers, allowing you to access multiple AI tools through one endpoint. It offers ~1.6B free tokens/month, with the possibility of up to ~2.1B in the first month with signup credits. Key features include RTK + Caveman compression, which saves 15-95% tokens, and 18 routing strategies. OmniRoute is available in 42+ languages and can be used with various CLIs and coding agents. Its purpose is to simplify the use of multiple AI providers, making it easier to manage and optimize AI workflows. With OmniRoute, you can focus on coding without worrying about AI provider limitations. Start using OmniRoute today and streamline your AI development process.

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๐Ÿง  Channel: https://t.iss.one/GithubRe
๐Ÿš€ Meet OtterMind/Chat2DB: a gem from today's GitHub trending list.

๐Ÿ”— https://github.com/OtterMind/Chat2DB
๐Ÿ“ ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ AI-driven database tool and SQL client, The hottest GUI client, supporting MySQL, Oracle, PostgreSQL, DB2, SQL Server, DB2, SQLite, H2, ClickHouse, and more.
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€

Chat2DB is an AI-powered database client and SQL workspace designed for developers, DBAs, analysts, and data teams. It supports 30+ databases, including MySQL, PostgreSQL, and MongoDB, and offers features like SQL editing, completion, and execution. The platform also includes an AI assistant that can generate, explain, and optimize SQL queries in natural language.

To use Chat2DB, you can download the desktop app or run it via Docker. The platform provides a quick start guide and supports multiple languages, including English, Chinese, Japanese, Spanish, and Korean.

From a technical perspective, Chat2DB uses AES-256-GCM encryption to secure stored datasource passwords and AI model API keys. The platform also offers a CLI with MCP support and supports custom JDBC drivers.

Chat2DB is designed for a wide range of users, from individual developers to large data teams. Whether you're looking for a powerful database client or a collaborative SQL workspace, Chat2DB has the features and flexibility you need.

In short, Chat2DB is the ultimate database client and SQL workspace for anyone looking to streamline their workflow and take their data analysis to the next level: Chat2DB - where data meets AI.

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๐Ÿง  Channel: https://t.iss.one/GithubRe
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๐Ÿ”ฅ block/buzz is trending โ€” and it deserves your attention.

๐Ÿ”— https://github.com/block/buzz
๐Ÿ“ A hive mind communication platform
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€

Buzz is a self-hostable workspace where humans and AI agents collaborate in the same rooms. It's built on a Nostr relay, where every message, reaction, and event is a signed event in one log. This allows for a unified experience, with agents able to perform tasks like opening repos, sending patches, and reviewing code, all while maintaining a transparent audit trail.

Key features of Buzz include:

* Agents that can search six months of history and post relevant threads
* The ability to triage bugs without giving agents full access to the kingdom
* Feature branches that can be turned into rooms for collaboration
* A search function that spans conversations, patches, workflows, and approvals
* Agents that can run workspaces, not just participate in them

From a technical standpoint, Buzz is built using a variety of technologies, including Rust, JavaScript, and Postgres. The architecture is designed to be modular, with a focus on scalability and flexibility.

The target audience for Buzz appears to be developers and teams looking to collaborate on projects, with a focus on those interested in AI-powered tools and workflows. Overall, Buzz aims to provide a seamless and transparent collaboration experience, where humans and agents can work together in a shared space.

One-liner takeaway: Buzz is redefining collaboration by bringing humans and AI agents together in a single, transparent workspace.

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๐Ÿง  Channel: https://t.iss.one/GithubRe
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๐Ÿ” Deep-diving into alibaba/open-code-review โ€” fresh off the trending list.

๐Ÿ”— https://github.com/alibaba/open-code-review
๐Ÿ“ Open-source & free โ€” Battle-tested at Alibaba's scale. Hybrid architecture code review tool: deterministic pipelines + LLM Agent, precise line-level comments, built-in fine-tuned ruleset (NPE, thread-safety, XSS, SQL injection), OpenAI & Anthropic compatible.
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€

Meet OpenCodeReview, an AI-powered code review CLI tool that's been battle-tested by tens of thousands of developers at Alibaba Group. This open-source project combines deterministic engineering with an agent hybrid approach to provide precise and efficient code reviews.

Key features include:
- Precise file selection and smart file bundling for efficient reviews
- Scenario-tuned prompts and toolsets for effective agent interactions
- Support for multiple programming languages and integrated development environments (IDEs)

To get started, simply install the ocr command using npm install -g @alibaba-group/open-code-review, configure your LLM provider and model, and run ocr review to start reviewing your code.

Technical highlights include:
-
ocr config provider
and
ocr config model
for easy setup
-
ocr review
and
ocr scan
for flexible review options

This project is perfect for developers, devops teams, and organizations looking to streamline their code review process.

In a nutshell, OpenCodeReview is the perfect tool for any developer looking to level up their code review game - it's like having a personal code reviewer at your fingertips!

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๐Ÿง  Channel: https://t.iss.one/GithubRe
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