Brie Wensleydale Joins X Social Media Platform
agents deepseek inference
| Source: Mastodon | Original article
Brie Wensleydale shares experience with DeepSeek V4 and Hermes Agent. Fast and efficient with near-zero cost.
Brie Wensleydale, a prominent figure in AI research and development, has shared a significant breakthrough on X. By combining DeepSeek V4 with the Hermes Agent, Wensleydale achieved remarkably fast and efficient results, with minimal costs - almost zero - despite making 117 API calls and processing 8.5 million tokens. This finding is noteworthy from the perspective of agent-based workflows and large-scale token processing cost reduction.
As we previously reported on the potential of AI agents and large language models, Wensleydale's discovery builds upon this foundation, highlighting the potential for cost-effective and efficient processing. The use of DeepSeek V4 and Hermes Agent demonstrates the advancements being made in AI technology, enabling faster and more efficient processing of vast amounts of data.
Looking ahead, it will be interesting to see how Wensleydale's findings are applied in real-world scenarios, particularly in the development of custom workflows and AI models. With Wensleydale's ongoing work on open-source image models, such as Wan 2.1, and their engagement with the AI community, we can expect further innovations and breakthroughs in the field of AI research and development.
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