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FastLongSpeech: 30x Compression That Doesn't Murder Your Context

FastLongSpeech: 30x Compression That Doesn't Murder Your Context

Speech models are having a moment and seems like they’re here to stay. They can transcribe your rambling, understand your questions, and even tell when you're being sarcastic. But ask them to process anything longer than a TikTok video and they straight-up collapse. The problem? Speech can

What are Online Evaluations and How to Set Them Up for Your AI System Using Maxim AI

What are Online Evaluations and How to Set Them Up for Your AI System Using Maxim AI

Introduction Building an LLM-powered application is one thing; ensuring it performs optimally in production is another challenge entirely. While evaluation during development is necessary, the non-deterministic nature of LLMs means that all possible scenarios can never be fully covered in testing. This is where online evaluations become crucial. Online vs.

Synthetic data generation, Retro evals, Workspace-level RBAC and more

Synthetic data generation, Retro evals, Workspace-level RBAC and more

🎙️ Feature spotlight 🔢 Synthetic Data Generation You can now generate synthetic datasets in Maxim to simplify and accelerate the testing and simulation of your Prompts and Agents. Use this to create inputs, expected outputs, simulation scenarios, personas, or any other variable needed to evaluate single and multi-turn workflows across Prompts, HTTP

Monitor AI Applications in Real-Time with Maxim's Enterprise-Grade LLM Observability Platform

Monitor AI Applications in Real-Time with Maxim's Enterprise-Grade LLM Observability Platform

Introduction: The Black Box Problem in AI Systems Imagine deploying a complex microservices application without logs, traces, or metrics. You'd be flying blind - unable to debug failures, optimize performance, or understand user behavior. Yet this is exactly how many teams ship AI applications today. Traditional monitoring tools

✨ Audit logs, Guardrails, Responses API support, and more

✨ Audit logs, Guardrails, Responses API support, and more

🎙️ Feature spotlight 🧾 Audit logs (Maxim Enterprise) We’ve added Audit logs to the Maxim platform, giving you complete visibility and control over all the activity across your organization. You can now view a detailed trail of every action executed on the platform, including logins, runs, configuration updates, and resource changes,

Chain-Talker: Teaching AI to Speak with Empathy

Chain-Talker: Teaching AI to Speak with Empathy

When AI systems engage in conversation, getting the words right is only half the battle. The real challenge is emotional appropriateness: responding to "I just lost my job" with genuine sympathy rather than robotic cheerfulness, or matching enthusiasm when someone shares good news. Current conversational speech synthesis (CSS)

Choosing the Right AI Agent Framework: A Comprehensive Guide

Choosing the Right AI Agent Framework: A Comprehensive Guide

The landscape of AI agent development has matured from experimental prototypes to production-grade systems. With numerous frameworks emerging, each with distinct philosophies and capabilities, choosing the right one demands careful evaluation of technical requirements, team expertise, and business objectives. At Maxim, we've conducted an extensive analysis of the

Chain-Talker: Teaching AI to Speak with Empathy

Chain-Talker: Teaching AI to Speak with Empathy

When AI systems engage in conversation, getting the words right is only half the battle. The real challenge is emotional appropriateness: responding to "I just lost my job" with genuine sympathy rather than robotic cheerfulness, or matching enthusiasm when someone shares good news. Current conversational speech synthesis (CSS)

Choosing the Right AI Agent Framework: A Comprehensive Guide

Choosing the Right AI Agent Framework: A Comprehensive Guide

The landscape of AI agent development has matured from experimental prototypes to production-grade systems. With numerous frameworks emerging, each with distinct philosophies and capabilities, choosing the right one demands careful evaluation of technical requirements, team expertise, and business objectives. At Maxim, we've conducted an extensive analysis of the

DiTTo-TTS: The TTS System That Doesn't Need Your Phonemes (And Why That's a Big Deal)

DiTTo-TTS: The TTS System That Doesn't Need Your Phonemes (And Why That's a Big Deal)

Text-to-speech has always been that one AI domain where you couldn't just throw data at the problem and call it a day. “Data is the moat” is straight up not a thing here. Want to build a TTS system? Better get comfortable with phonemizers, forced aligners, duration predictors,

Are Small Language Models the Future of Agentic AI?

Are Small Language Models the Future of Agentic AI?

Recent research from NVIDIA presents a compelling argument that small language models (SLMs) represent the future of agentic artificial intelligence systems. The paper challenges the current industry paradigm of deploying large language models for all agent tasks, proposing instead that smaller, specialized models offer superior operational characteristics for most agentic

What GenSE Gets Right For LLM-Assisted Speech Enhancement 🎙️

What GenSE Gets Right For LLM-Assisted Speech Enhancement 🎙️

Speech enhancement, the art of cleaning up noisy, muffled, or degraded audio, has traditionally been the domain of signal processing algorithms and convolutional networks. But what if we treated speech cleaning like a language problem instead? That's exactly what researchers from Northwestern Polytechnical University and Nanyang Technological University

Building a Simple Second Brain AI Agent with Vercel AI SDK & Maxim AI

Building a Simple Second Brain AI Agent with Vercel AI SDK & Maxim AI

A comprehensive step-by-step tutorial on creating a RAG-powered knowledge base system with observability. Table of Contents 1. Project Overview 2. Architecture & Technology Stack 3. Environment Setup 4. Database Configuration 5. Embedding System Implementation 6. RAG Implementation 7. Maxim AI Integration for Observability 8. AI Chat API with Tools 9.

Building an AI Product Review Analyzer: Structured Outputs with Together AI and Maxim Observability

Building an AI Product Review Analyzer: Structured Outputs with Together AI and Maxim Observability

In today's data-driven world, businesses need to extract structured insights from unstructured text at scale. Whether it's analyzing customer reviews, processing support tickets, or extracting key information from documents, the ability to get consistent, structured outputs from Large Language Models (LLMs) has become crucial. In this