Unsloth enables faster, lower-VRAM fine-tuning of Gemma 4 models locally, making advanced AI customization accessible to solo builders with modest hardware. This unlocks rapid prototyping and product development for AI-powered apps.
You can now fine-tune Gemma 4 with our free notebooks!
You just need 8GB VRAM to train Gemma 4 locally!
Unsloth trains Gemma4 1.5x faster with 50% less VRAM.
GitHub:
github.com/unslothai/unsl
โฆ
Guide:
unsloth.ai/docs/models/ge
โฆ
Gemma-4-E4B Colab:
colab.research.google.co
OpenClaw's integration with GPT-5.4 significantly improves its capabilities, making it a valuable tool for builders looking to enhance their AI projects. This advancement can streamline development processes and accelerate product launches.
OpenClaw is now really good with GPT-5.4. Peter and team cooked
This tweet discusses using advanced AI models to enhance the performance of cheaper models, which can streamline product development for builders. It highlights a method to improve AI outputs, making it relevant for entrepreneurs looking to optimize their AI tools.
The best way to make cheap models work is to have big models direct them
Have an expensive model like GPT 5.4 or Opus write up a derailed spec
Use Kimi or GLM 5 to implement it.
We are observing some excellent results
A user shares how switching to Codex helped identify critical gaps in their development pipeline, showcasing the tool's effectiveness in enhancing team productivity. This insight can help builders optimize their workflows and improve project outcomes.
Really interesting observation: I fully switched my OpenClaw to oauth GPT 5.4/ codex after the claude debacle.
Immediately, codex noticed over 10 gaps in my 12-agent dev team pipeline that opus hadnโt identified or fixed.
It took us maybe 20 minutes to fix any gaps, identify
The latest update of Summarize introduces new features like local video slides and improved model backends, making it a valuable tool for builders looking to enhance their AI projects and streamline development.
Summarize 0.13 is out!
Local video slides (--slides)
More model backends (GitHub Copilot)
Better GPT-5.4 support
Better media handling (HLS detection.m3u8)
It graduated from my tap to official homebrew formula!
brew install summarize
Fireworks Training now lets you fully fine-tune massive models like Kimi K2.5 with custom loss functions on managed infrastructure. This enables builders to rapidly create proprietary AI models tailored to niche use cases, speeding up product development.
Fireworks Training is now in preview.
You can now full-parameter fine-tune Kimi K2.5 (1T params, 256k context) with custom loss functions (GRPO, DRO, DAPO, or bring your own) on managed infra.
@genspark_ai
built their proprietary model stack in four weeks.
@vercel
hit 93%
A curated list of free or low-cost tools to launch a startup, covering everything from hosting to analytics. This helps builders minimize costs and accelerate MVP development.
GLM-5.1, a new AI model, is now accessible via OpenRouter, Vercel, and Requesty. Builders can integrate this model into their products or services, enabling advanced AI features with minimal setup.
Special thanks to our launch partners, AI gateways, and inference providers. Access GLM-5.1 now:
- OpenRouter:
openrouter.ai/z-ai/glm-5.1
- Vercel:
vercel.com/ai-gateway/mod
โฆ
- Requesty:
requesty.ai/models/zai/glm
โฆ
A new middleware lets you integrate Claude's compaction engine into LangChain agents, enabling more efficient AI workflows. Builders can leverage this to enhance their AI products or services quickly.
the langchain community is so awesome
claude code's source leaked last week and
@IeloEmanuele
immediately built claude's compaction engine as
@LangChain
middleware
drop this into your agents/deepagents today!
LangSmith now lets you set cost alerts for AI agents, helping builders control expenses as usage scales. This is crucial for entrepreneurs running automated AI services to avoid unexpected costs and protect margins.
Introducing Cost Alerting in LangSmith
More and more agents are making it to production, and costs are increasing dramatically.
Use LangSmith to set configurable alerts on total cost, so you know right away when your agents are spending more than they should.
Docs:
Google AI Studio offers 1,500 free daily requests to the Gemma 4 31B model, which can be integrated into workflows or products via Vercelโs AI Gateway. Builders can leverage this to prototype or launch AI-powered tools with minimal upfront cost.
Most people donโt realize this:
You get 1,500 free daily requests to Gemma 4 31B on
@GoogleAIStudio
.
Thatโs plenty of free inference (imo).
And you can route it into
@NousResearch
Hermes Agent via Vercelโs AI Gateway:
1. Create an API key on Google AI Studio
2. Add it u
LoongClaw is a customizable Rust framework for building AI agents, enabling entrepreneurs to rapidly prototype and deploy unique AI-powered products or services.
Build and customize any ai agent with this minimalist rust framework.
LoongClaw is not meant to stop at being another generic claw.
It also reflects the way people want to work: respect differences, stay open, practice reciprocity, think long-term, and stay grounded.
This tweet highlights how builders with a Gemini subscription can set up a free, high-quality Gemini 3.1 Flash Lite API on Google Cloud, enabling rapid prototyping or integration into products without worrying about usage limits.
If you have a Gemini subscription, create a free API on Google Cloud yourself and use Gemini 3.1 Flash Lite Previewโit's fast, high quality, and the free quota is more than you'll ever use up.
Plano is a smart proxy that routes prompts to the most cost-effective LLMs, reducing AI inference costs by up to 50%. Builders can use this to optimize expenses and scale AI-powered products more efficiently.
This AI proxy cuts your LLM costs by 50%
Plano acts as a smart data plane that automatically routes your prompts to the right model based on complexity.
It runs on Arch-Router-1.5B, giving you production-grade routing deployed at scale at Hugging Face.
- Smart LLM routing
A new GStack-Lite tool accelerates OpenClaw's Claude Code execution, enabling faster and more capable AI task automation. Builders can leverage this to develop smarter, more efficient AI-powered products.
It's official. GStack for OpenClaw is here. When OpenClaw has to use Claude Code to do things (and it does this all the time) suddenly it can do it with wings.
I created a special gstack-lite to keep OpenClaw tasks fast while making them think harder and get more done.
LangChain is expanding its agent middleware ecosystem and seeking community contributions. Builders can leverage this middleware to accelerate AI product development or create new integrations.
we're building out a community middleware page for
@LangChain
, and we need your help growing it.
agent middleware is one of the most powerful building blocks we've shipped. what are you building with it?
GLM-5, a new large language model from Zai, is now available in production for LangChain Fleet via Baseten. Builders can leverage this integration to quickly add advanced AI capabilities to their apps or workflows.
we practice what we preach --
@Zai_org
GLM-5 (via
@baseten
) now available in production for
@LangChain
Fleet!
A tool or method to add robust, hybrid search-enabled memory to AI agents, enabling more advanced and reliable automation products. This can help builders create smarter, more persistent AI-powered services.
Add production-grade memory with hybrid search to any AI Agent.
PocketPal AI lets users run Gemma language models 100% locally on their phones, enabling private, offline AI chat. Builders can leverage this tool to create privacy-focused AI apps or content around local LLMs.
Here is how to get it.
On your phone:
1. Download the PocketPal AI app from the App Store
2. Open the app and pick a Gemma model through Hugging Face
3. Download the model
4. Start chatting, everything runs 100% locally and private (no internet needed after setup)
On your
OpenClaw introduces 'Dreaming', an experimental, opt-in system for AI memory consolidation, enabling more durable and explainable memory phases. Builders can leverage this to create smarter, more persistent AI agents or products.
Dreaming is OpenClawโs experimental, opt-in memory consolidation system, promoting meaningful short-term signals into durable memory through explainable light, deep, and REM-style phases.
docs.openclaw.ai/concepts/dream
โฆ
A tool that wraps bash calls to filter outputs and save tokens, highlighting the importance of harnesses and context engineering for AI workflows. Builders can use this to optimize AI pipelines and reduce costs.
cool harness hook that wraps every bash call and does tons of output filtering to save a big % of tokens
codex is either gonna love this or be confused beyond saving bc it loves bash for everything
me the broken record: harness & context engineering matter
๐ 21,095 viewsโค 130๐ 9๐ฌ 7๐ 1290.7% eng
Highlights key syntax differences for Chain-of-Thought prompts between Gemma 4 (vLLM) and Gemini API (OpenAI chat completions). Useful for builders integrating or switching between these LLMs to avoid prompt errors.
PSA: Gemma 4 uses a harmony-like syntax for vLLM with <|channel>thought\n, but the Gemini API (when using OpenAI chat completions) uses for the CoT
This tweet introduces 'warp decode,' likely a new AI tool or framework. Builders can explore it to speed up product development or integrate advanced AI features into their offerings.
Read about our work on warp decode:
๐ 24,823 viewsโค 78๐ 13๐ฌ 2๐ 770.4% eng
This tip shows how to use Hugging Face's hardware profile feature to quickly see if your Mac can run specific local AI models. Useful for builders evaluating hardware before investing in local AI workflows.
ๆณ็ฅ้ไฝ ๆไธๆๆณ่ฒท็ Mac ่ฝ่ทไป้บผๆฌๅฐๆจกๅๅ๏ผ
1. ๅป Hugging Face ่จปๅๅธณ่
2. ๅจๅธณ่่จญๅฎๅกซๅ ฅ็กฌ้ซ่ฆๆ ผ
3. ้ๆจฃๅญ๏ผๅฐๅๆจกๅ้ ้ขๆ๏ผๅฐฑๅฏไปฅ็ๅฐๆฏๅฆ่ทๅพๅ็้ ไผฐ