Collaboration is Intelligence: The Rise of Multilingual Telco LLMs

The rise of multilingual Telco LLMs is revolutionizing the telecommunications industry. Learn how Claude 3.5 Sonnet and GPT-4 are leading the charge in AI innovation.

Collaboration is Intelligence: The Rise of Multilingual Telco LLMs

Generated by author using GPT-4

If you’ve followed me for a while now, you will have realized how excited I am about long-inference models. I believe — and academia does, too — that they are the next frontier for AI in terms of reasoning capabilities.

A multilingual Telco LLM in action

Now, a group of researchers at Together.ai (a company that serves LLMs) has published a paper on a mixture of agents that beats ChatGPT-4. This breakthrough has significant implications for the development of Telco LLMs, which are specifically designed to improve customer interactions via digital assistants and other innovative AI solutions.

The Battle of the LLMs: Claude 3.5 Sonnet vs. GPT-4

We compared Anthropic’s Claude-3.5-Sonnet and OpenAI’s GPT-4 across various AI tasks. Claude-3.5-Sonnet excels in context precision, faithfulness, and readability. GPT-4 is faster and better for voice AI startups due to lower latency and quicker time to first token (TTFT).

A comparison of Claude-3.5-Sonnet and GPT-4

In benchmark evaluations, Claude 3.5 Sonnet consistently outperforms GPT-4 in areas such as graduate-level reasoning, undergraduate-level knowledge, coding, multilingual math, and reasoning over text. While GPT-4 shows a slight advantage in math problem-solving, Claude 3.5 Sonnet generally demonstrates superior performance across most benchmarks, making it a strong choice for diverse tasks.

The Future of Telco LLMs: A Joint Venture

The founding parties of the Global Telco AI Alliance (GTAA) have signed a Joint Venture agreement to co-develop and launch a multilingual Telco LLM. This follows the announcement by the GTAA at MWC Barcelona 2024 to establish a Joint Venture and marks the founding parties’ commitment to co-develop and launch multilingual Large Language Models (Telco LLM) specifically tailored to the needs of telecommunications companies.

The founding parties of the Global Telco AI Alliance

The JV will see equal investments from the founding parties to support its initial working capital requirements to develop the Telco LLM that will aim to help telcos improve their customer interactions via digital assistants and other innovative AI solutions. The Telco LLM will be multilingual, including Korean, English, German, Arabic, and Bahasa, among other languages.

Conclusion

Based on our extensive testing and analysis, both Claude-3.5-Sonnet and GPT-4 excel in various AI tasks, with Claude-3.5-Sonnet leading in context precision, faithfulness, and readability. However, GPT-4’s faster speed and time to first token (TTFT) make it a superior choice for voice AI startups where latency is critical. As AI technology continues to evolve, choosing the right model will depend on the specific needs of each application, but both models are strong candidates for driving innovation in natural language processing and AI solutions.

The future of AI innovation