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ollama.ai | ||
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isthisit.nz
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| | | | | August 2024 Update: Now a solved problem. Use Structured Outputs. Large language models (LLMs) return unstructured output. When we prompt them they respond with one large string. This is fine for applications such as ChatGPT, but in others where we want the LLM to return structured data such as lists or key value pairs, a parseable response is needed. In Building A ChatGPT-enhanced Python REPL I used a technique to prompt the LLM to return output in a text format I could parse. | |
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www.promptingguide.ai
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| | | | | A Comprehensive Overview of Prompt Engineering | |
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ollama.com
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| | | | | Get up and running with large language models. | |
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www.obscuresound.com
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| | | An exploration of how a state of fear can stymy an ideally functioning society and locale, "Merit" is a captivating new track from Zurich-based composer and musician Rio Wolta. The track comes via the album Technophobia, which was released today. The album itself is set within a fictional city - impressive in its functionality, though restrained by fear in regard to its next step and potential for innovation. These poignant perceptions of modern threats, and potential complacency, combine with a tactful atmospheric unveiling on the excellent "Merit." A darkly enveloping synth buzz and subtle rhythmic thumping complement a chilling vocal | ||
