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