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Tool Directory
Curated database of production-ready AI software & models categorized by technical utility.
Prompt Sandbox
Test and version-control complex system prompts without burning your own API tokens.
Blog & Case Studies
Long-form analysis of enterprise AI adoption and technical deep-dives for engineers.
Daily Digest
Essential AI news summarized by experts, delivered to your screen at 8:00 AM UTC.
Latest AI Models & Benchmarks
Track context constraints, input/output token costs, and standardized evaluation benchmarks across newly released frontier & open-weight models.
Core AI Directories, Benchmarks & Hubs
Explore standardized evaluation datasets, pricing models, lab rosters, verified prompt libraries, and directories across the frontier AI ecosystem.
LLM Pricing Matrix
Live cost tracking per 1M input/output tokens across 70+ models, with cost ratios and token efficiency scores.
Frontier Benchmarks
Standardized leaderboard across MMLU, HumanEval, MATH, GPQA, and time-to-first-token latency.
AI Companies & Labs
Corporate dossiers, model portfolios, and technical architectures for OpenAI, Anthropic, Google, Meta, and xAI.
Tool Comparison Engine
Interactive side-by-side matrices comparing features, context limits, API capabilities, and developer pricing.
Browse All Platform Directories & Datasets
Latest research
Synthesized digests of recent publications across machine learning, alignment, and multi-agent systems.
Attention is all you need
The foundational paper introducing the Transformer architecture. Dispenses with recurrence and convolutions, relying entirely on self-attention for sequence modeling.
LoRA: Low-rank adaptation of large language models
Introduces Low-Rank Adaptation (LoRA) for parameter-efficient fine-tuning. Dramatically reduces the number of trainable parameters while maintaining downstream performance.
Direct preference optimization: Your language model is secretly a reward model
Proposes Direct Preference Optimization (DPO) as an alternative to PPO-based RLHF. Simplifies alignment by optimizing the policy directly from human preference data.
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Verified Practitioner Reviews
VerifiedIndependently verified ratings from AI practitioners, developers, and researchers.
LLMDB is the single most valuable AI utility bookmarked on our team Slack. The live sandbox allows our prompt engineers to benchmark 18+ models simultaneously before deploying to production. The agent loop pricing calculator accurately predicted our inference bills down to the penny.
Finally an AI directory that doesn’t just regurgitate press releases. The research paper digests and standardized benchmark tables (HumanEval, GPQA, MMLU) are meticulously verified and reflect real-world performance.
We migrated our entire tool-calling stack from GPT-4o to Claude 3.5 Sonnet and DeepSeek based directly on LLMDB’s side-by-side comparison matrix. The context window analysis and deployment type tags are spot on.
I use the Free Prompt Library and chaining simulator daily. Being able to test dynamic variables {{input}} live in the browser without fumbling with Python scripts or API tokens is pure productivity gold.
BriefStock
Premium datasets for fine-tuning specialized LLMs. High-integrity text and image corpuses.
Araho
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