
System 2 Arena - Objective AI Strategy Benchmarks
与AI模型进行策略游戏,查看大语言模型在排行榜上的排名。
masterchef2209 · HN
I created a platform to check which AI models is the best gamer
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与AI模型进行策略游戏,查看大语言模型在排行榜上的排名。
masterchef2209 · HN
I created a platform to check which AI models is the best gamer

Token Gobbler:扮演AI角色在街机游戏中吃令牌、躲避注入攻击和速率限制。
dschwede · HN
Token Gobbler – the goofy game where you're the LLM

查看LLM模型在10个基准问题上的评分和排名。
fristovic · HN
She watched me look at model rankings and asked what do the numbers mean... I literally had no good way of explaining it to her so I just came up with something that is approximately in the same ballpark as some of the benchmarks out there lol

自动将提示词路由到最便宜的模型,节省API成本。
u/ASDKING100 · Reddit
Launched an AI API router tonight, and found a bug hours in that would've taken real payments without ever upgrading the account Built LLMLite over the past few weeks — it classifies each prompt and routes it to the cheapest model that can actually handle it, instead of hitting GPT-4o for everything. Free tier, no card needed to try it. Tonight, right as I was about to launch, ran a real transaction to test the payment flow end to end. Paddle processed it, webhook fired, signature verified

跨多个AI提供商路由您的LLM请求,降低成本并满足延迟要求。
Aperswal · HN
Made a Free LLM Router

向多个前沿大模型提问,获得经过同行评审的综合答案。
u/Puzzleheaded-Log-27 · Reddit
Building a multi-model AI deliberation tool taught me something about trust LLM Counsel isn't another wrapper around one model - it sends your question to a panel of frontier LLMs, has them peer-review each other anonymously, and an impartial "chairman" model returns one synthesized answer. Free to start, pay-as-you-go after, credits don't expire. What I've learned so far: people trust a synthesized answer a lot more once they can see that the models actually disagreed and how that disagree

使用一个 API 访问和切换多个 LLM 提供商,同时优化推理成本。
justin2025 · Product Hunt
Auriko Trading desk for LLM calls

Ornymo通过语义缓存减少LLM查询成本和延迟。
u/ornymo_official · Reddit
how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]

对比多个LLM API提供商的延迟和吞吐量。
@QAInsights · X

用对抗测试检查LLM端点安全,获取OWASP审计报告。
@aryaan_sheth · X
- LLM security for small teams


开源提示词压缩,在API调用前压缩输入以降低LLM成本。
@asgujjuasitgets · X