Touchcast

💡 Imagine scaling AI faster, smarter—and at half the cost! 💡 Touchcast is making it happen. Slash your LLM costs by 50% with response times 100x faster🚀 It’s not just savings, it’s about unlocking new possibilities for your business. Discover more: touchcast.com/cogcache?utm_s…

@svpino Thanks for the great shoutout! We’re excited to see what the community can achieve with CogCache!🚀 #AI #LLM #TechInnovation

Caching will make your LLM application cheaper and faster to run. But caching is hard. As the famous saying goes, "There are 2 hard problems in computer science: cache invalidation, naming things, and off-by-1 errors." Here is how caching works at a very high level: 1. A new request comes in with a prompt. 2. The application checks whether an identical or similar prompt already exists in the cache. 3. If found, the application returns the cached response. 4. If not found, the application generates a new response for the prompt and caches it. If you implement this right, you'll get two main benefits: 1. Your application will be much faster. Returning responses from the cache have much lower latency than generating the response with an LLM. 2. Your application will be much cheaper. You will be saving a ton of money in tokens. However, implementing a robust caching system is a ton of work. Here is an idea: If you are using OpenAI’s models, Llama 3, Mixtral, or Gemma, take a look at CogCache. They are sponsoring this post: bit.ly/3ZMTVN9 CogCache is an out-of-the-box caching solution with intelligent caching: It will automatically cache and serve responses for semantically similar queries. Some of the metrics: • You'll get up to 100x faster response times. • You'll save up to 50% in costs. • They integrate with Groq for super fast response times. • Lowest token price in the market thanks to their partnership with Microsoft. They have a pay-as-you-go model, which is great for all sorts of businesses. And if you're an Azure customer, you can use your annual Azure commitment to cover your inference costs. The attached image shows a Python example. Your code doesn't change at all, and you use the same OpenAI's Completion API, but now with cache enabled. That's pretty sweet!

𝗠𝗮𝘅𝗶𝗺𝗶𝘇𝗲 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆, 𝗠𝗶𝗻𝗶𝗺𝗶𝘇𝗲 𝗖𝗼𝘀𝘁𝘀🚀 With CogCache, repeated or similar AI prompts fetch cached responses - meaning no extra tokens consumed and big savings on your OpenAI usage. Watch the video and get started>>> touchcast.com/cogcache

From Reactive to Proactive: Agentic AI & the Enterprise of Tomorrow! We caught up with Touchcast CEO Edo Segal to dive into Agentic AI—AI that acts independently, adapts, and manages tasks proactively. 👉Check out the full conversation on our LinkedIn>>>linkedin.com/company/touchc…

Welcome to the Future of AI🔮 Touchcast’s Agentic Pipelines as a Service (APAS) is redefining how we solve complex tasks by orchestrating specialized agents beyond traditional LLMs. Smarter, scalable, and more cost-efficient. Learn more in our blog: touchcast.com/blog-posts/bey…

𝗔𝗜 𝗦𝗽𝗲𝗲𝗱, 𝗥𝗲𝗱𝗲𝗳𝗶𝗻𝗲𝗱 𝗳𝗼𝗿 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲𝘀🚀 CogCache delivers 50% cost savings and 100x faster performance, empowering AI leaders to drive innovation and stay ahead. Join the #AI revolution with CogCache: 🔗 touchcast.com/cogcache #AIRevolution

🚀Say hello to TM1: Touchcast's next-gen AI metamodel! It outperforms GPT-4o with a 62 on AlpacaEval 2.0. Plus, it’s 33x more cost-efficient. Advanced AI in a single API call? Yes, please. Now in preview! 🔗touchcast.com/tm1 #AI #Innovation #TM1 #tech

📈As LLM consumption grows (blue line), CogCache yield (purple) increases, resulting in lower load on LLM calls (red) and consequently materially lower cost of operations (green). Learn more here>>>touchcast.com/cogcache?utm_s… #AI #Tech #CostEfficiency #DataScience

Enterprise AI infrastructure that delivers🚀 Up to 50% Cost Reduction | Up to 100x Faster Performance | Unlimited Access to the Latest LLMs Get started for free>>>touchcast.com/cogcache?utm_s… #AI #Innovation #Technology #Efficiency

Sam Altman recently warned that "There’s no way to get [sufficient power for AI data centers] without a breakthrough." Enter Cognitive Caching - a new approach to GenAI that can cut LLM costs but put to 50%. Learn more at touchcast.com/blog-posts/bui…

Missed our announcement at Build '24? We're solving the #1 bottleneck in generative AI adoption: the shortage of affordable, high-performance compute infrastructure. 👀 Watch to discover how you can get access to the latest AI models at the lowest cost and best performance.

Curious? Explore more at touchcast.com/cogcache. #AI #TechInnovation #CognitiveCaching #SustainableAI

7/ With Cognitive Caching, businesses can achieve up to 100x performance boosts while cutting operational costs, making AI more accessible and sustainable. 🌱

6/ This new approach can reduce LLM usage by up to 50%, resulting in significant cost savings and improved processing speeds. 📉💨

5/ Cognitive Caching addresses this issue by intelligently routing and caching AI inference tasks, cutting down on redundant computations and lowering energy consumption. 🚀

4/ With 20% of inference operations wasted due to repetitive LLM calls, there's a significant need to reduce inefficiencies and improve resource utilization. 🔄

3/ Data center power demand is projected to roughly double from 2024 to 2028 📈

2/ The scarcity of affordable, high-performance computational infrastructure is a major barrier, with persistent 6-8 month lead times for GPUs and memory supply constraints. ⏳

1/ The growing demand for AI applications is pushing data centers to their limits. By 2035, data centers could account for 7.2% of global power demand, up from 1.5% in 2023. ⚡️

The generative AI market is set to explode to $110B by 2030 (42% CAGR). But a critical compute bottleneck stands in the way. Cognitive Caching is the breakthrough solution. 🧵