TL;DR:
- Scribble Data introduces Hasper, a full-stack engine powered by large language models (LLMs) for rapid AI data product development.
- Hasper provides engineering guardrails and streamlines data workflows, offering contextually rich insights.
- The Enrich Intelligence platform, integrated with Hasper, enables seamless integration of LLMs and customization for domain-specific agents.
- Hasper combines traditional feature engineering, ML, and LLMs for hybrid data products and enhanced insights.
- Market impact: Hasper unlocks the potential of LLMs for enterprises, revolutionizing decision-making processes and driving innovation.
Main AI News:
In a major development, Scribble Data, a leading machine learning and generative AI company, has unveiled Hasper, an all-inclusive engine based on large language models (LLMs). Designed specifically for business leaders, Hasper enables the rapid construction of AI-powered data products, revolutionizing the way enterprises operate.
Hasper serves as a crucial bridge, providing engineering guardrails that unlock the potential of LLMs for organizations. By streamlining data workflows and delivering contextually rich insights, this cutting-edge engine empowers businesses to leverage the full capabilities of LLMs seamlessly.
Indrayudh Ghoshal, Co-founder and COO at Scribble Data, expressed his enthusiasm for the rise of generative AI, stating, “Embracing the power of generative AI marks a pivotal moment in our journey to unite enterprise analytics with the potential of LLMs. It’s the convergence of our Enrich Intelligence platform, built on machine learning and robust workflows, with the transformative power of LLMs. We’re already witnessing compelling new use cases for our customers.”
Hasper represents the latest addition to Scribble Data’s flagship product, the Enrich Intelligence platform. By harnessing both structured and unstructured data, businesses can now build sophisticated end-to-end workflows effortlessly, all while benefiting from conversational interfaces that enhance user experience.
One of the key strengths of Hasper lies in its compatibility with all leading foundational models. This versatility allows teams to choose the LLM that best aligns with their organizational requirements, whether it be cost, enterprise-grade security, or privacy. Furthermore, Hasper’s ability to customize data products for unique use cases ensures a comprehensive understanding of context and constraints, significantly minimizing the risk of data hallucinations.
Key Features of Hasper: Empowering Business Efficiency and Insights
- Enhanced Scale and Speed: Leveraging the power of LLMs, Hasper boosts efficiency by addressing use cases more effectively, expediting workflows, and increasing overall team productivity.
- Intelligent Natural Language Interface: Business users can now safely and effortlessly engage with their data in a conversational manner, similar to the experience provided by ChatGPT, facilitating better decision-making processes.
- Seamless Integration and Customization: Hasper seamlessly integrates LLMs into advanced analytics decision workflows, enabling businesses to customize domain-specific agents. This customization empowers organizations to achieve highly relevant and accurate results.
- Hybrid Data Products for Enhanced Insights: Through the combined capabilities of Hasper and Enrich, organizations can adopt a hybrid approach to use cases. By leveraging traditional feature engineering, machine learning, and LLMs, businesses can transform raw data into insightful analytical outputs.
“Enrich has already demonstrated its potential across various industries, including insurance, retail, and e-commerce, with compelling use cases such as RFP processing, advisor-in-a-box, contextual data querying, and intelligent responses backed by solid data. With the introduction of Hasper, we anticipate a tenfold increase in the number of analytical use cases,” stated Venkata Pingali, Co-founder and CEO of Scribble Data, highlighting the immense possibilities brought forth by this groundbreaking engine.
Conclusion:
The launch of Hasper by Scribble Data signifies a significant breakthrough in the market for business leaders seeking to harness the power of AI data products. By providing a full-stack applied AI engine, Hasper empowers enterprises with streamlined data workflows, contextually rich insights, and the ability to customize domain-specific agents. With its integration into the Enrich Intelligence platform, Hasper enables businesses to leverage the combined strengths of traditional feature engineering, machine learning, and large language models. This advancement opens up new possibilities for enhanced decision-making, increased efficiency, and innovation, paving the way for organizations to stay ahead in the competitive market landscape.
