Beam AI Labs
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About this app
Beam AI Labs is a laboratory and developer toolkit designed for AI engineers, prompt architects, and computer science students exploring modern Large Language Model (LLM) architectures.
Understand the mechanics of neural text generation through interactive decoding simulators, Mixture of Experts (MoE) analytical benchmarks, autonomous function calling schemas, and production-ready prompt blueprints.
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KEY FEATURES & CAPABILITIES
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π¬ INTERACTIVE BEAM SEARCH SIMULATOR
β’ Visualize step-by-step token decoding across hypothesis branches.
β’ Adjust Beam Width (K), Softmax Temperature (T), and Length Normalization (Ξ±).
β’ Learn how beam pruning avoids greedy local minimums to produce coherent completions.
β’ Compare top-K surviving candidate paths with log-probability metrics.
β‘ MoE INFERENCE & BENCHMARK PROFILER
β’ Analyze Mixture of Experts (MoE) dynamics: active parameter compute vs. total parameter capacity.
β’ Estimate Time to First Token (TTFT), tokens per second (TPS), and theoretical memory bandwidth.
β’ Calculate input and output token budgets with prefix prompt caching discounts.
π οΈ AGENT TOOL STUDIO & JSON SCHEMA BUILDER
β’ Build valid JSON Schema function declarations for autonomous tool-calling loops.
β’ Configure required parameters, data types, and semantic tool descriptions.
β’ Study multi-turn ReAct cycles (thought β tool_call β observation β answer) with error-recovery patterns.
π PRODUCTION PROMPT BLUEPRINTS
β’ Access structured prompt templates for coding, data extraction, and security auditing.
β’ Configure zero-shot, few-shot, and constrained decoding guidelines.
β’ Copy and test prompt templates directly within your local workflow.
π ARCHITECTURAL MASTERCLASSES & FORMULAS
β’ 8 structured offline learning modules covering sparse routing, 1M context windows, and RAG pipelines.
β’ Quick-reference technical cheat sheets for active compute ratios, context saturation, and pricing formulas.
β’ Practical guidance on prompt injection defenses and AI security guardrails.
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PRIVACY-FIRST & OFFLINE SAFETY
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β’ Zero Account Requirement: No registration, logins, or personal credentials required.
β’ 100% Local Processing: All beam search simulations, benchmark calculations, and saved prompt setups run entirely on your device using local storage.
β’ No Cloud Data Harvesting: We do not collect or upload your custom prompts, schemas, or notes to remote servers.
==================================
DISCLAIMER & TECHNICAL NOTICE
==================================
Beam AI Labs is an independent analytical toolkit created for research and architectural planning purposes. All token throughput figures, latency simulations, and benchmark numbers are analytical approximations. Users deploying production systems should always consult the official documentation, quotas, and terms of their selected cloud foundation model providers.
Understand the mechanics of neural text generation through interactive decoding simulators, Mixture of Experts (MoE) analytical benchmarks, autonomous function calling schemas, and production-ready prompt blueprints.
==================================
KEY FEATURES & CAPABILITIES
==================================
π¬ INTERACTIVE BEAM SEARCH SIMULATOR
β’ Visualize step-by-step token decoding across hypothesis branches.
β’ Adjust Beam Width (K), Softmax Temperature (T), and Length Normalization (Ξ±).
β’ Learn how beam pruning avoids greedy local minimums to produce coherent completions.
β’ Compare top-K surviving candidate paths with log-probability metrics.
β‘ MoE INFERENCE & BENCHMARK PROFILER
β’ Analyze Mixture of Experts (MoE) dynamics: active parameter compute vs. total parameter capacity.
β’ Estimate Time to First Token (TTFT), tokens per second (TPS), and theoretical memory bandwidth.
β’ Calculate input and output token budgets with prefix prompt caching discounts.
π οΈ AGENT TOOL STUDIO & JSON SCHEMA BUILDER
β’ Build valid JSON Schema function declarations for autonomous tool-calling loops.
β’ Configure required parameters, data types, and semantic tool descriptions.
β’ Study multi-turn ReAct cycles (thought β tool_call β observation β answer) with error-recovery patterns.
π PRODUCTION PROMPT BLUEPRINTS
β’ Access structured prompt templates for coding, data extraction, and security auditing.
β’ Configure zero-shot, few-shot, and constrained decoding guidelines.
β’ Copy and test prompt templates directly within your local workflow.
π ARCHITECTURAL MASTERCLASSES & FORMULAS
β’ 8 structured offline learning modules covering sparse routing, 1M context windows, and RAG pipelines.
β’ Quick-reference technical cheat sheets for active compute ratios, context saturation, and pricing formulas.
β’ Practical guidance on prompt injection defenses and AI security guardrails.
==================================
PRIVACY-FIRST & OFFLINE SAFETY
==================================
β’ Zero Account Requirement: No registration, logins, or personal credentials required.
β’ 100% Local Processing: All beam search simulations, benchmark calculations, and saved prompt setups run entirely on your device using local storage.
β’ No Cloud Data Harvesting: We do not collect or upload your custom prompts, schemas, or notes to remote servers.
==================================
DISCLAIMER & TECHNICAL NOTICE
==================================
Beam AI Labs is an independent analytical toolkit created for research and architectural planning purposes. All token throughput figures, latency simulations, and benchmark numbers are analytical approximations. Users deploying production systems should always consult the official documentation, quotas, and terms of their selected cloud foundation model providers.
Explore LLM beam search decoding, MoE inference benchmarks & prompt engineering.
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+6285786081963
About the developer
RENA LENTA
rentavlena@gmail.com
Desa Siharjulu Lintongnihuta
Kec. Lintong Nihuta
Kabupaten Humbang Hasundutan
Sumatera Utara 22475
Indonesia
+62 857-8608-1963
