Custom ChatGPT LLM: Commercial Success

Machine Learning

Building your custom ChatGPT style Large Language Model (LLM) for commercial success

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AI Consulting Services and Advanced Data Analytics
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At Dexlock, we take immense pride in our expertise in developing cutting-edge Machine Learning, Deep Learning, and AI platforms. Understanding  the transformative power of Large Language Models (LLMs) in the world we live in, we embarked on a mission to build an exceptional LLM ecosystem. Our goal is to not only deliver top-notch performance but also provide a commercially usable solution, benefiting organizations from diverse domains around the world.

The compelling reasons for us to opt for open-source LLMs over hosted alternatives, such as OpenAI’s ChatGPT/GPT-4, Microsoft’s Bing AI Chat, Google’s Bard etc, are:

  • Data Privacy and Security: We understand the paramount importance of data privacy and security. Utilizing hosted LLMs involves sharing data with external servers, raising concerns about confidentiality, data integrity, and compliance. Our open-source LLMs put control back into your hands, enabling you to manage data locally and ensure adherence to your security standards and meet compliance requirements.
  • Reliability and Availability: Dependence on hosted LLMs may lead to disruptions in service, affecting accessibility when you need it the most. By adopting our open-source LLMs, you gain control over deployment and ensure uninterrupted access, minimizing the risk of downtime and improving reliability.
  • Cost-Efficiency and Scalability: Cost considerations are always a crucial aspect of any AI implementation. Hosted LLMs can be expensive, especially when deployed at scale. Our open-source approach allows you to scale the models without incurring additional usage costs, giving you the flexibility to grow your AI applications cost-effectively.
  • Flexibility and Customization: One size does not fit all in the AI landscape. Hosted LLMs often come with limitations on customization due to predefined models and infrastructure constraints. By choosing our open-source LLMs, you gain the freedom to fine-tune and tailor the models to your specific needs, integrate them seamlessly into your existing infrastructure, and even contribute to the LLM’s further development. By enriching the models with your data, we enhance their understanding and adapt them to specific needs of your products. Our models are geared to continuously learn from user interactions, guaranteeing context-aware responses.

  • Versatility in language understanding: The models possess the ability to understand and process natural language effectively. This versatility enables them to excel in tasks like text generation, summarization, sentiment analysis, and language translation. Such language understanding capabilities are invaluable in industries where accurate comprehension and communication are critical.

  • Enhanced document comprehension: The ecosystem is proficient in document comprehension, making it suitable for extracting essential information from complex documents. This feature proves beneficial in fields such as legal, healthcare, and finance, where large volumes of documents need quick analysis and summarization.
  • Multi-modal capabilities:  Support for models that excel in understanding both vision and language can help with image classification and text-based image retrieval, enabling industries like e-commerce to build image recommendation systems based on textual queries. 
  • Chatbots: We support models that are capable of generating personalized responses in conversational AI scenarios. This feature is particularly valuable in customer service and chatbot implementations, where providing relevant and tailored responses enhances user experience and engagement.

Healthcare: HIPAA Compliant

  • In the healthcare industry, patient data confidentiality is paramount. Self-hosted AI models provide on-premise solutions for healthcare professionals to access AI-powered insights without compromising data privacy. These models can be fine-tuned with past patient history to deliver accurate responses to medical queries, enabling doctors to make well-informed decisions at their fingertips.

Transcription Automation

  • We support models that excel in transcription automation. They can accurately transcribe spoken language into text, saving time and resources in various industries where transcription is a common requirement.

Document Extraction from Lab Records

  • In healthcare and research domains, AI models like BERT and RoBERTa can extract valuable information from lab records and other documents. This capability streamlines the process of retrieving specific information, enabling faster and more accurate data analysis.

Finance: Securing Data

  • The financial industry requires stringent data security measures. Dexlock’s self-hosted AI models cater to these requirements, ensuring that sensitive financial data remains on-premise while still benefiting from the advanced language understanding capabilities of GPT-Neo and other models.

Fintech: Pattern Recognition on Charts

  • AI models like GPT-Neo and CLIP can be fine-tuned for pattern recognition on financial charts. This feature enables Fintech applications to identify trends, anomalies, and errors in financial data, assisting investors in making informed decisions.

RFP Processing

  • In business and procurement domains, Dexlock’s AI models can streamline the RFP processing. These models can automatically extract relevant information from RFP documents and provide prompt responses to user queries, enhancing the efficiency of the proposal evaluation process.

We firmly believe that open-source LLMs offer a superior and forward-looking solution for organizations seeking to leverage the power of AI responsibly and effectively. By choosing our ecosystem, you become part of a vibrant community of innovators, enabling you to drive AI advancements, safeguard your data, and create a sustainable future for AI adoption across industries.

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