Explore the transformative potential of integrating GenAI with mission-critical business systems to significantly enhance operations and drive innovation.
AI debate mirrors early internet era: high hopes clash with realities, echoing past tech cycles. True AI impact akin to slow web evolution, requiring substantial infrastructure and integration efforts.
Next-gen AI without breaking the bank! AWQ, a quantization method, boosts deploying LLMs' cost-effectiveness by cutting GPU needs, enabling wider access to advanced AI technology at lower costs.
Enterprises need more than a powerful AI model; they require a secure, efficient, and compliant platform, not just disparate tools, to deploy generative AI at scale.
The potential of Generative AI (GenAI) to revolutionize the workplace is undeniable. Studies from McKinsey1 and Harvard Business School2 reveal staggering statistics, suggesting that GenAI could automate a significant portion of employees' time and boost performance across the board.
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In the whirlwind of GenAI hype, with countless press releases and social media posts, there's a crucial point to note: Enterprises are not extensively leveraging GenAI in critical workflows or revenue-generating functions.
TL;DR: We benchmarked various open-source LLMs, including Llama-v2-7b-chat, finding they hallucinate around 55% of the time in context-aware Q&A tasks without tuning.