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ChatGPT Fuels an AI Hype
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Since its founding, text analysis using Natural Language Processing has been one of Leftshift One’s core areas. For years, the company has relied on transformer models to analyze texts within organizations and generate content for knowledge bases, documents, communication channels, and more. Now, something significant has happened: ChatGPT, a massive LLM model, has been made available to the public, delivering increasingly better results thanks to its immensely high volume of trained data and substantial computational power. Within just two months, more than 100 million users have signed up for the service. This is a real boost for AI in public perception.
- 17. October. 2024
Patrick Ratheiser
CEO & Founder
Glossary
What is GPT, actually?
GPT stands for “Generative Pre-trained Transformer” and is the AI model behind ChatGPT. Given a context, GPT can generate new and coherent text. It has been pre-trained on large amounts of text to learn language structures and patterns. The transformer architecture enables efficient processing of information in sequences. The approach is autoregressive: text is generated word by word, with each subsequent word predicted based on the previous ones.
Companies have concerns about potential use
Although ChatGPT offers many advantages, companies have concerns about its widespread use in the corporate context. The criticism focuses on a lack of control, insufficient transparency, and inadequate data protection. Recent press reports confirm this impression: in Italy, OpenAI’s service has been temporarily suspended due to data protection reasons.
Leftshift One responds with a reliable alternative
The developers at Leftshift One, led by the Head of AI, are launching a reliable alternative to ChatGPT that is privacy-friendly, transparent, and efficient. The opportunities presented by generative AI from ChatGPT are to be harnessed with this AI service for businesses. While the model may not match ChatGPT in generic functions like text generation, the company maintains full control over its data at all times.
Specifically tailored to your requirements, trained, and efficiently deployable.
It is trained with your data, ensuring that every source is transparent and traceable.
Faster answers to your questions through efficient AI-optimized search processes.
ChatGPT? Sure, but with data protection and traceability.
The AI team at Leftshift One builds on open-source models to develop smaller GPT models. Through instruction-based learning, the models are adapted for company-specific applications. This solution allows for hosting in a private data center without the need to share internal knowledge. Furthermore, smaller models enhance efficiency, and traceability is ensured through pre-filtering functions and source citations.
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More on the Topic
In the Technology Behind ChatGPT, Leftshift One is at home.
Secure and Effective: How the Benefits of ChatGPT Can Be Utilized
Following the introduction of ChatGPT in November 2022, a significant hype around AI has emerged. Texts are analyzed using transformer models, based on which responses in natural language are generated. However, alongside the enthusiasm, companies have significant concerns regarding data protection and traceability. Since its inception, text analysis using Natural Language Processing has been one of the core areas of Leftshift One. For years, the company has relied on AI technology to analyze texts within organizations and generate content for knowledge bases, documents, and communication channels. So how can this knowledge be utilized to provide companies with the enormous benefits of ChatGPT?
The goal is to provide a reliable alternative to ChatGPT
The development of a reliable alternative to ChatGPT is a significant step. If it can also successfully address the drawbacks of ChatGPT, such as data protection concerns and lack of traceability, nothing will stand in the way of using generative AI in businesses. The idea is to combine the chatbot’s data foundation with a semantic search, ensuring that the exact source of the generated answers is always traceable.
The Challenge: "David vs. Goliath"
Leftshift One has set itself no small goal. ChatGPT, developed by OpenAI, was trained on an astonishingly large amount of text, including websites, books, articles, and other text sources. The model has 175 billion parameters and requires immense computational power to achieve the desired results. It is versatile and can write poetry just as easily as it can create cooking recipes. Since 2017, Leftshift One has been working with AI models and has a competent and experienced team of developers around the Head of AI who are tackling this significant challenge.
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Open Source models provide an ideal foundation
 Fortunately, open-source models exist that the developers at Leftshift One can build upon. These are efforts from various research teams that possess the necessary computational power to retrain the large models. Promising approaches include models like LLaMA or GPT-J, which can be utilized without requiring the intense computational capacity for training on one’s own.
Leftshift One responds to the demand for tailored solutions.
The demand for a ChatGPT alternative for businesses is high. There is a particular need to enable human-like interaction with a chatbot, especially for domain-specific applications. Leftshift One has developed its own AI service based on internal company data that can be utilized in specific use cases. To achieve this, Leftshift One employs open-source models followed by “fine-tuning.” Using instruction-based learning, question-and-answer pairs are fed to the model, allowing the chatbot to respond to text inputs in natural language.
Efficiency Through Smaller Models
 A major challenge in developing a ChatGPT alternative is maintaining performance while reducing the size of the models. Instead of using the 175 billion parameters of ChatGPT, Leftshift One focuses on smaller GPT or transformer models with seven to twenty billion parameters.
However, smaller GPT models naturally possess less general knowledge and may not be able to write poetry as well as larger models. Additionally, the client must have a sufficient knowledge base of documents, texts, etc., to adapt the model for their specific use case. Furthermore, Leftshift One equips the models with filtering functions so that only a specific knowledge area can be queried within the company.
Advantages of Leftshift One LLM
Data Protection and Reliability in Focus
Privacy-Friendly and Efficient
Leftshift One views the complexity of the endeavor primarily in making the model privacy-friendly and efficient. ChatGPT is mainly hosted in the USA, making it unsuitable for many companies. Additionally, some facts from large language models like ChatGPT are “hallucinated,” lacking reliable citations, which are crucial for business-critical processes.
Leftshift One's solution addresses the drawbacks of ChatGPT.
 Since Leftshift One’s model is significantly smaller than ChatGPT, it can be hosted in the customer’s private data center without the need to share internal knowledge. The reduction in model size also leads to increased efficiency regarding the required computational capacity. To ensure traceability, the model is equipped with filtering functions, allowing only a specific knowledge area to be queried within the company. This also generates citations, making the model reliable for internal business use.
Use Cases
Successful use cases can be found across all industries
Alternative to ChatGPT for Businesses
The call for an alternative to ChatGPT for businesses has been hard to ignore. Leftshift One has successfully harnessed the immense benefits of generative AI for organizations. Potential areas of application include:
- Companies in the steel processing industry, where the model can be trained on the dataset of numerous user manuals, operational guides, and FAQs.
- Cross-industry use cases, such as classifying emails, files, and documents or automating responses to customer inquiries, are achievable with the ChatGPT alternative.
After successful development, the company-specific customization takes place.
The development of an alternative to ChatGPT was fraught with numerous challenges, but the resulting added value for customers is now paying off. Now is the time to adapt the model through re-training to the specific use cases to maximize benefits.
The foundation is laid with the internal data base.
Leftshift One’s immense expertise in Natural Language Processing makes it the ideal partner for implementing smaller GPT models. If you have a sufficient knowledge base in the form of documents, files, and texts, nothing stands in the way of successfully implementing a first use case.
Small Models, Big Impact
The benefits of ChatGPT combined with human-like interaction, data protection, traceability, and efficiency.
Leftshift One has recognized the demand from companies for an alternative to ChatGPT and is now committed to providing you with the model and its associated capabilities for your internal business applications. In doing so, Leftshift One challenges the big players of the GAFA (Google, Apple, Facebook, Amazon) and demonstrates that smaller models can also achieve a significant impact.
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