Forget quiet quitting - AI 'workslop' is the new office morale killer
发布日期:2025-09-24
Don't risk your professional reputation on this.
Achieve better NLP results faster with Fine-Tuner's cutting-edge technology.
发布日期:2025-09-24
Don't risk your professional reputation on this.
发布日期:2025-09-23
As companies race to implement AI, many are finding that project success hinges directly on the quality of their data. This dependency is causing many ambitious initiatives to stall, never making it beyond the experimental proof-of-concept stage. So, what’s the secret to turning these experiments into real revenue generators? AI News caught up with Martin […] The post Martin Frederik, Snowflake: Data quality is key to AI-driven growth appeared first on AI News.
发布日期:2025-09-23
Nearly everything you've heard about AI and job cuts is just plain wrong - an analytics guru explains why.
发布日期:2025-09-22
This promise of deploying 10 gigawatts of NVIDIA-powered to OpenAI in the next decade dwarfs all of NVIDIA's previous AI software investments combined.
发布日期:2025-09-22
The debate around AI-generated music and who profits from it continues.
发布日期:2025-09-19
Dell Technologies is betting on AI as companies move from small pilots to full-scale deployments, with the focus now on how organisations can turn AI into measurable results. But scaling AI is not easy. It demands strong infrastructure, reliable data management, and the ability to deploy models quickly in different workflows. Dell has positioned itself […] The post Christian Spindeldreher, Dell Technologies: Powering AI at scale appeared first on AI News.
发布日期:2025-09-19
US President Donald Trump said on Thursday that AI was “taking over the world,” and joked that he hoped tech executives understood it better than he did. The comment came as Trump and UK Prime Minister Keir Starmer hosted a gathering of business and technology leaders in London during the president’s second state visit to […] The post Trump jokes about AI while US and UK sign new tech deal appeared first on AI News.
发布日期:2025-09-17
A new research report from technology advisory firm Information Services Group (ISG) has revealed AI threats and more stringent regulations are shifting the French cybersecurity landscape, resulting in businesses reassessing their security strategies. Increasing security budgets mean many French enterprises require fresh guidance and expertise to establish effective priorities and combat their security challenges. According […] The post AI-enabled threats and stricter regulation in France appeared first on AI News.
发布日期:2025-09-17
Fintech, regtech, and cybersecurity vendor, CSI has teamed with HuLoop, a provider of an AI-powered, no-code automation platform, to help banks improve efficiency. The partnership will present CSI’s NuPoint Core Banking System to financial institutions, and is designed to help companies manage accounts, transactions, and other banking operations. NuPoint customers will have access to HuLoop’s […] The post CSI and HuLoop deliver AI-driven efficiency to banks appeared first on AI News.
发布日期:2025-09-15
American maritime technology company Mythos AI has completed the installation of its Advanced Pilot Assistance System (APAS) aboard the vessel CB Pacific, a chemical cargo ship owned by CB Tankers. The APAS project is designed to manage navigation at sea. Unlike most traditional systems in this space that depend largely on machine vision, APAS uses […] The post Mythos AI and lomarlabs deploy sea-pilot AI assistance appeared first on AI News.
What is Fine-Tuner?
Fine-Tuner is a powerful tool that enhances your NLP models using cutting-edge fine-tuning technology. It allows you to achieve better results with less data in a fraction of the time.
How to use Fine-Tuner?
To use Fine-Tuner, simply upload your NLP model and data to our platform. Fine-Tuner will then apply its advanced fine-tuning algorithms to optimize your model for improved performance. You can easily integrate the fine-tuned model back into your existing workflow.
Fine-Tuner's Core Features
Fine-Tuner offers the following core features:
1. Cutting-edge fine-tuning technology
2. Enhances NLP models
3. Improved results with less data
4. Time-efficient process
5. Seamless integration into existing workflows
Fine-Tuner's Use Cases
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Fine-Tuner can be used in various scenarios, such as:
1. Sentiment analysis
2. Text classification
3. Named entity recognition
4. Language translation
5. Question answering systems
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