Symbl.ai Blog

Reading with Intent: Equipping LLMs to Understand Sarcasm in Multimodal RAG Systems

Toshish Jawale | 08-27-2024

Reading with Intent: Equipping LLMs to Understand Sarcasm in Multimodal RAG Systems

Team Symbl | 08-08-2024

How to Fine-Tune GPT on Conversational Data

Mixture of Experts

Team Symbl | 07-24-2024

Building Performant Models with The Mixture of Experts (MoE) Architecture: A Brief Introduction

WebSocket + SIP

Team Symbl | 07-23-2024

How to Implement WebSocket and SIP-based Integration with Symbl.ai

Team Symbl | 07-22-2024

How to Build LLM Applications With LangChain and Nebula

Team Symbl | 07-19-2024

How to Fine-Tune Llama 3 for Customer Service

Team Symbl | 07-18-2024

How to Build a Multi-Agent Bot with Autogen and Nebula

Can Conversational Feature Transfer in LLMs Help Detect Deception?

Can Conversational Feature Transfer in LLMs Help Detect Deception?

Kartik Talamadupula | 07-16-2024

Can Conversational Feature Transfer in LLMs Help Detect Deception?

Team Symbl | 07-15-2024

Build unified compliance for human and AI agents with Call Score API.

Introducing Custom Criteria & Scorecard for Call Score

Introducing Custom Criteria & Scorecard for Call Score

Team Symbl | 07-12-2024

Introducing ‘Custom Criteria’ & ‘Scorecard’ for Call Score API

image depicts a diagram titled "Building an LLM" with interconnected icons representing various concepts such as a microphone, chat bubble, database, growth chart, and organizational structure, all on a purple gradient background

image depicts a diagram titled "Building an LLM" with interconnected icons representing various concepts such as a microphone, chat bubble, database, growth chart, and organizational structure, all on a purple gradient background

Kartik Talamadupula | 05-31-2024

A Guide to Building an LLM from Scratch

Team Symbl | 05-29-2024

Legal Tech firm extracts intelligence from depositions with Symbl.ai