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Mindtickle’s Robust AI Productionizing Process powered by Maxim

Mindtickle’s Robust AI Productionizing Process powered by Maxim

About Mindtickle Mindtickle is the market-leading revenue enablement platform that combines on-the-job learning and deal execution to drive behavior change and get more revenue per rep. Mindtickle is recognized as a market leader by top industry analysts and is ranked by G2 as the #1 sales onboarding and training product.

✨ Maxim AI February 2025 Update

✨ Maxim AI February 2025 Update

Feature spotlight 🚀 Agent simulation Teams today spend countless hours manually going back and forth with their agents to assess quality and identify failure modes. And it’s not a one-time thing— unintended regressions happen all the time, whether due to model updates or optimizations based on user feedback. Introducing Maxim’

✨ Maxim AI January 2025 Updates

✨ Maxim AI January 2025 Updates

Feature spotlight 🔍 Evaluate and monitor AI agents using Maxim It is a constant challenge for AI teams to debug, monitor, and understand what's going wrong in the complex workflows of AI agents, which involve multiple steps, i.e., LLM calls, tool calls, data retrievals, etc. To ensure the

Maxim AI x MongoDB

Build a RAG application using MongoDB and Maxim AI

What is RAG? Retrieval-augmented generation (RAG) is a process designed to enhance the output of a large language model (LLM) by incorporating information from an external, authoritative knowledge base. This approach ensures that the responses generated by the LLM are not solely dependent on the model's training data.

Maxim AI - Product Updates, December 2024 ✨

Maxim AI - Product Updates, December 2024 ✨

Feature spotlight 👩‍🏫 Use human annotation queues for data curation To optimize the quality and performance of AI applications, teams need to continuously inspect traces, annotate examples, and use these logs as datasets for evaluation, fine-tuning, or in-context learning. This is a manually intensive process where various components are siloed and

BrowserGym: Technical deep dive into web agent automation

BrowserGym: Technical deep dive into web agent automation

The field of web automation faces significant challenges in standardizing agent development and evaluation. BrowserGym, a Gym environment for web automation tasks by ServiceNow, addresses these challenges by providing a unified framework that standardizes the development, testing, and evaluation of web agents. In addition, they also design AgentLab, a complementary

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Ensuring responsible AI: An overview of DeepMind’s FACTS framework

Introduction DeepMind introduces the FACTS Grounding, an online leaderboard and benchmark designed to evaluate the factual accuracy of language models' long-form responses based on a given context in user prompts. The benchmark requires models to generate text grounded in a provided document, which can be up to 32,000