Mrunmay Shelar

@jijivishaaaaa 😔 soz

QPred: A Quantum Mechanical Property Predictor for Small Molecules #DeepLearning pubs.acs.org/doi/10.1021/ac… @MrunmayShelar #JCIM Vol66 Issue2 #compchem

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QPred: A Quantum Mechanical Property Predictor for Small Molecules #machinelearning #compchem pubs.acs.org/doi/abs/10.102…

@LangdbAi Auto Router makes those trade-offs for you — keeping quality the same, while cutting cost. Full write-up here: docs.langdb.ai/features/auto-…

@LangdbAi Why? - Simple queries (“Convert 100 cm to meters”) don’t need GPT-5. - Complex queries (“Analyze a financial risk assessment”) still escalate to the strongest model.

🚀 Beating the Best Model Most devs default to “always use the best model.” Safe, right? But in practice… it often means paying way more than necessary. We put this to the test. 👇

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With @LangdbAi , you can now: 🔌 Access @Zai_org alongside @OpenAI , @AnthropicAI , @deepseek_ai , @Google . ⚡ Experiment with frontier reasoning, no extra integrations. 📈 Track usage + costs in one place.

🚀 New on @LangdbAi : @Zai_org's GLM-4.5 models are now available. Frontier reasoning + open-source, delivered through one simple API.

@LangdbAi 🔍 Full visibility, always: Every run is fully traceable—view all actions, errors, and latency in one dashboard. 🔗 Live trace: app.langdb.ai/sharing/thread…

@LangdbAi 🌐 350+ LLMs, zero hassle: Swap between OpenAI, Gemini, Claude, Grok, and more—just change a model string.

🚀 Instantly connect @crewAIInc with @LangdbAi Gateway - Just one init() call = full tracing for every agent step. 🔗 Guide: blog.langdb.ai/deep-integrati…