Bitext – Harnessing the Full Potential of ChatGPT without Hallucination, tailor-made for your company’s success.

With Bitext, you can harness the true potential of ChatGPT without any concerns about hallucinations. Our cutting-edge technology ensures that the generated responses stay on point and relevant, avoiding any inaccuracies or misleading information. Enjoy the benefits of ChatGPT’s natural language processing capabilities while maintaining control over the accuracy and reliability of your chatbot interactions.

How Bitext Does It

LLM Integration for Conversational Bots

By following this comprehensive process, Bitext empowers your conversational bot with the advanced capabilities of LLMs, ensuring it responds accurately and meaningfully to user queries while avoiding any hallucination.

Empowering Conversational Bots with Expert Linguistic Data from Bitext

At Bitext, we go beyond just providing linguistic resources for conversational bots. We specialize in the generation, annotation, and curation of extensive datasets with powerful linguistic annotations. These annotations cover a wide range of phenomena, such as lexical variation, syntactic structures, language register variations, and more. Our meticulous approach ensures that the data is accurate, relevant, and ready to empower your conversational bots in multiple languages.

Data in 14 Languages and Language Variants

Bitext offers linguistic resources and annotations in 14 languages, catering to a diverse set of users. These languages include:

In addition to these languages, we also provide support for various language variants, including:

Our extensive language coverage ensures that your conversational bot can effectively comprehend and respond to user queries across different languages and regions. With our expertly annotated and curated data, your chatbot will deliver contextually relevant and accurate responses, creating an exceptional user experience.

Customization for User Language Profiles and Ethical Control

At Bitext, we take customization to the next level by not only adapting to diverse user language profiles but also offering ethical control over the chatbot’s tone and offensive language. Our expert linguistic data allows you to fine-tune the conversational experience according to your specific requirements.

We go beyond the basic linguistic features and cover a plethora of linguistic phenomena, including regional variations, code switching, language register, politeness, and more. This extensive coverage ensures that your chatbot not only understands the nuances of different languages but also delivers responses that align with your brand values and user preferences.

With Bitext’s meticulous approach to linguistic data generation, annotation, and curation, you gain full control over your conversational bot’s interactions, ensuring an ethically responsible and engaging user experience in any language you need.Optimized Data Selection

Careful data selection ensures that your chatbot performs optimally on common platforms. We consider quantitative limitations, intent overlaps, and language variations to ensure the best possible performance.

Knowledge-Transfer Methodology

Bitext employs a unique knowledge-transfer methodology to adapt general-purpose NLU engines to your specific vertical or industry. We model the linguistic knowledge of your domain and transfer it to Language Models (LLMs) used in chatbots.

Integration with LLMs

The linguistic knowledge, including dictionaries, grammars, ontologies, and user linguistic profiles, is seamlessly integrated into the LLMs of your choice. This integration allows your chatbot to leverage the full potential of LLMs without suffering from hallucination.

On-Demand Linguistic Resources

With support for over 75 languages and their variants, Bitext provides on-demand linguistic resources for your chatbot. Your bot becomes well-equipped to handle diverse language challenges from different regions.

Enhanced User Experience

By harnessing the power of LLMs and customized linguistic knowledge, your chatbot can deliver highly accurate and contextually relevant responses, providing an enhanced user experience across languages and cultures.

Generating sufficient training data is crucial for building effective conversational agents, but manual data production is costly, time-consuming, and error-prone, limiting scalability. Platform providers often lack the infrastructure to address the diverse needs of their large clients in terms of verticals, languages, and locales. On the other hand, clients may struggle to collect and annotate their data, especially when dealing with sensitive information that cannot be exposed to third parties.

Bitext offers an innovative solution that streamlines bot development. Our prebuilt chatbots are designed to bootstrap new bots or enhance existing ones in minutes, eliminating the need for weeks or months of manual development.

Prebuilt Chatbots – The Perfect Start

Each Prebuilt Chatbot is carefully crafted to encompass the 20 to 40 most common intents relevant to its respective vertical, providing you with optimal out-of-the-box performance.

Our Prebuilt Chatbots are skillfully trained to adeptly handle variations in language register, encompassing polite/formal, colloquial, and even potentially offensive language. Our expertise stems from an in-depth analysis of language register patterns in user queries across a diverse array of vertical bots. We leverage this knowledge to create training data that mirrors these language profiles, ensuring comprehensive linguistic coverage.

Furthermore, we inject real-world authenticity into our training data by introducing various forms of noise. This includes simulated spelling mistakes, run-on words, and instances of missing punctuation. These natural language imperfections enhance the realism of our training data, bolstering the resilience of our Prebuilt Chatbots against the kind of “noisy” input commonly encountered in everyday interactions.

Here’s an overview of the datasets used to train each Prebuilt Chatbot:

Role: The Prebuilt Chatbot’s intended function or purpose within a specific vertical, such as providing customer support or answering FAQs.

Context: The context in which the Prebuilt Chatbot operates, encompassing the types of user queries and scenarios it is expected to handle.

Variants of the Question and Response: The diverse ways in which users might phrase their questions and the corresponding responses provided by the Prebuilt Chatbot. This includes variations in language, wording, and structure.

Through meticulous analysis, optimization, and training with these datasets, our Prebuilt Chatbots excel at delivering accurate and contextually appropriate responses, enriching the user experience and bolstering the effectiveness of communication.

Language Register Variations – Tailored Communication

Our Prebuilt Chatbots are trained to handle diverse language register variations, including polite/formal, colloquial, and offensive language. We analyze language register usage in user queries from various vertical bots to generate training data with similar profiles, maximizing linguistic coverage. Some of the most relevant annotations are:

Lexical variation:

• M – Morphological variation: inflectional and derivational

“is my SIM card active”

“is my SIM card activated”

• L – Semantic variations: synonyms, use of hyphens, compounding…

“what’s my billing date”

“what’s my anniversary date”

Syntactic structure variation:

• B – Basic syntactic structure:

“activate my SIM card”

“I need to activate my SIM card”

• I – Interrogative structure

“can you activate my SIM card”

“how do I activate my SIM card”

• C- Coordinated syntactic structure

“I have a new SIM card, what do I need to do to activate it?”

• D – Indirect speech

“ask my agent to activate my SIM card”

Language register variations:

• P – Politeness variation

“could you help me activate my SIM card, please?”

• Q – Colloquial variation

“can u activ8 my SIM?”

• R – Respect structures – Language-dependent variations

English: “may” vs “can…”

French: “tu” vs “vous…”

Spanish: “tú” vs “usted…”

• W – Offensive language

“I want to talk to a f*cking agent”

Stylistic variations:

• K – Keyword mode

“activate SIM”

“new SIM”

• E – Use of abbreviations:

“I’m / I am interested in getting a new SIM”

• Z – Errors and Typos: spelling issues, wrong punctuation…

“how can i activaet my card”

• G – Regional variations

US English vs UK English: “truck” vs “lorry”

France French vs Canadian French: “tchatter” vs “clavarder”

• Y – Code switching

“activer ma SIM card”

Realism through Noise – Enhanced Robustness

To make the training data more robust and lifelike, we introduce noise, such as spelling mistakes, run-on words, and missing punctuation. This prepares our Prebuilt Chatbots to handle the type of “noisy” input commonly encountered in real-life interactions.

List of Fine-Tunning LLM Verticals

Bitext’s Prebuilt Chatbots cater to a wide array of industries, including:

• Automotive
• Retail Banking
• Education
• Events & Ticketing
• Field Service
• Healthcare
• Hospitality
• Insurance
• Legal Services
• Manufacturing
• Media Streaming
• Mortgages & Loans
• Moving & Storage
• Real Estate / Construction
• Restaurant & Bar Chains
• Retail / E-commerce
• Telecommunications
• Travel
• Utilities
• Wealth Management

With Bitext’s LLM integration, generating training data and deploying chatbots become a seamless and efficient process, allowing you to deliver exceptional user experiences across multiple languages and domains.