Fun fact: All our releases are named after lizard species alphabetically! Have a look: #toptory/#top" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">https://www.weblyzard.com/release-history/#top 🦎
Fun fact: All our releases are named after lizard species alphabetically! Have a look: #toptory/#top" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">https://www.weblyzard.com/release-history/#top 🦎
Read more: https://loom.ly/vtI1rNg
Read more: https://loom.ly/vtI1rNg
@ccca.ac.at
@ccca.ac.at
💥 Main logic in ~1000 LoC
🧑💻 Agent writes its actions in code! LLMs are much better at writing code than current standard of writing JSON => higher perf
🌍 Any LLM support (h/t LiteLLM)
🛡️ Secure code exec (h/t E2B)
💥 Main logic in ~1000 LoC
🧑💻 Agent writes its actions in code! LLMs are much better at writing code than current standard of writing JSON => higher perf
🌍 Any LLM support (h/t LiteLLM)
🛡️ Secure code exec (h/t E2B)
Google introduces FACTS Grounding, a benchmark to evaluate large language models (LLMs) on their factual accuracy. By minimizing hallucinations, it enhances trust in LLMs across fields like healthcare, finance, and law. #AI #LLMs #FactualAccuracy
Google introduces FACTS Grounding, a benchmark to evaluate large language models (LLMs) on their factual accuracy. By minimizing hallucinations, it enhances trust in LLMs across fields like healthcare, finance, and law. #AI #LLMs #FactualAccuracy
Learn how to leverage the power of function calling in #LLMs using @ollama - from basic curl commands to a full Go implementation. #Ollama #AI #Golang
Happy holidays! 🎄✨
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