Labelbox
The data behind breakthroughs
We empower the world’s top AI innovators with unrivaled expertise and tools to create, manage, and scale the ultimate data factory for groundbreaking AI solutions. The future of AI hinges on exceptional data, and Labelbox delivers it through innovative software and our elite Alignerrs network, a powerhouse of global experts shaping cutting-edge models with evaluations and bespoke data. Pioneering data-centric AI since 2018, we provide fully-managed data solutions—powered by our industry-leading Labelbox Platform—and connect industry-leading talent to AI labs, equipping them to staff and scale their own data factories for transformative impact. Our operating principles define how we build world-class AI infrastructure: through high agency, technical excellence, and rapid execution. These aren't just words on a wall - they're the foundation that enables us to solve some of the most exciting challenges in frontier AI development. These principles create an environment where Labelboxers can do their best work. We find joy in creating solutions for our customers. These solutions empower teams to build impactful machine learning products and services. By working with us, our customers are at the forefront of industrial machine learning. The AI industry is growing and evolving rapidly as it begins to transform every industry. We must stay humble and embrace that we have so much more to learn. We seek to understand first so that we build the most impactful solutions. Craftsmanship is the fine balance between perfection and a solution to the given constraints. To be a craftsman is to be consumed in a problem and to create your best expression of work as a result. You can't be a craftsman in every thing, you can only be a craftsman in a few things, but you do those things remarkably. Enabling breakthroughs in every industry Labelbox is uniquely positioned as the only company offering three integrated solutions for frontier AI development: Our flagship software enables teams to produce high-quality training data at scale through advanced annotation tools, workflow automation, and quality control systems. Through Alignerr, we provide specialized data labeling services for complex AI tasks, leveraging a network of subject matter experts to produce training data for next-generation AI models. Our marketplace connects AI teams with highly skilled annotators and domain experts, enabling flexible scaling of data operations from small research projects to large-scale production. We believe data will remain a crucial pillar in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. We're positioning Labelbox to be at the forefront of this evolution, developing new products and services that enable the next generation of AI breakthroughs. AI is quickly becoming one of the most significant technologies of our time. We're creating the in
Unsloth
Unsloth is an open-source, no-code web UI for training, running and exporting open models in one unified local interface.
Unsloth lets you run and train AI models on your own local hardware. Run and train Google's new Gemma 4 models! A new open, no-code web UI to train and run LLMs. New Qwen3.5 Small Medium LLMs are here! Run the new 4B and 120B models by NVIDIA. Train MoE LLMs 12x faster with less VRAM. Learn to run local LLMs via Claude OpenAI. Run fine-tune the new 80B coding model. Run fine-tune 30B model for agentic coding. Unsloth streamlines local training, inference, data, and deployment Search + download + run any model like GGUFs, LoRA adapters, safetensors. Train and RL 500+ models ~2x faster with ~70% less VRAM (no accuracy loss) Supports full fine-tuning, pre-training, 4-bit, 16-bit and FP8 training. Enables LLMs to predict if a headline impacts a company positively or negatively. Can use historical customer interactions for more accurate and custom responses. Fine-tune LLM on legal texts for contract analysis, case law research, and compliance. You can think of a fine-tuned model as a specialized agent designed to do specific tasks more effectively and efficiently. Fine-tuning can replicate all of RAG's capabilities, but not vice versa.
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