othmane khadri

How to use Phospho.ai to improve your AI software in 2024:

Learn how to use Phospho.ai to improve your AI software in 2024. This guide shows how text analytics can monitor, cluster, and optimize user interactions for better performance. Phospho provides actionable insights, helping you enhance AI functionality effectively and in real-time.

How to build a successful LLM App in 2024: Text Analytics

Building a successful LLM app in 2024 requires using text analytics to gain actionable insights. Phospho offers real-time data, custom KPIs, and continuous evaluation to optimize AI models. This article outlines how text analytics tools like Phospho can fuel faster, effective iteration for LLM apps.

Digital customer experience analytics for AI SaaS: How to get insights from your users

Digital customer experience analytics is crucial for AI SaaS companies to understand user behavior, mitigate churn, and improve product performance.

How to scale GenAI products integrating machine learning best practices on high-quality metrics

Learn how to scale GenAI products by integrating machine learning best practices, focusing on data collection, analysis, and visualizations. Quality metrics and academic benchmarks ensure optimal AI performance in evolving markets.

5 best AI tools for software QA (2024 edition)

This article highlights the 5 best AI tools for software QA in 2024, including Phospho’s real-time LLM analytics. Discover key features, use cases, and limitations of each platform to help you choose the best tool for your QA needs.

Vibe Checking: a valid subjective approach for LLMs quality check

Vibe checking is a subjective approach that evaluates LLMs using tailored quality metrics. This method complements traditional LLM analytics, focusing on user satisfaction and specific use cases rather than relying solely on standard metrics.

How to copy tables from Perplexity.ai

Learn how to copy tables from Perplexity.ai to collect actionable data for AI analytics.

Create AI-dashboards with Phospho for your AI SaaS data

Discover how to create AI dashboards with Phospho, the essential tool for AI SaaS development. This guide covers everything from setup to real-time insights, emphasizing the importance of AI-specific analytics.

How to do Data Optimization for AI software in 2024

A comprehensive 6-step guide to data optimization for AI software in 2024. It covers essential techniques, including data cleaning, enrichment, and continuous monitoring, using tools like Phospho to enhance AI product development and performance.

How to improve your AI SaaS performance in 2024 in 3 actionable steps

Improve your AI SaaS performance in 2024 with Phospho's tools. Embrace real-time monitoring, uncover edge cases, and optimize with automated evaluation pipelines to stay competitive.

How Phospho gives AI scaleup companies actionable data about their users

Phospho helps AI scaleups derive actionable data from user interactions, enabling rapid iteration and improved growth through advanced AI analytics.

The Future of Ad Hoc Analysis in AI Product Development: How to use Phospho for Insightful AI-data analysis

Ad hoc analysis is essential in AI product development for quick, data-driven decisions. Phospho offers real-time insights, enabling rapid iteration and optimal AI model performance, keeping you ahead in a competitive market.

How to do AI data visualization in 2024 for your LLM app using Phospho

Implement AI data visualization in your LLM app with Phospho. This guide covers data gathering, cleaning, and interpretation to enhance app performance, making it easier to spot trends and act on insights in 2024.

3 Steps To Leverage the Product Process Matrix for AI-Driven Product Development

Learn how to use the Product Process Matrix and Phospho to improve AI product development. Follow 3 key steps to map, prioritize, and continuously refine your AI-driven products for faster time to market and better alignment with business goals.

What sentiment analysis tools to use for your LLM App?

Explore top sentiment analysis tools for your LLM app, including Brand24, MonkeyLearn, and Phospho. Learn how these tools provide actionable insights to improve user experience and enhance product development.

How to do product management lifecycle in 2024

Business landscapes and marketplaces are always growing in competition. Really effective product management plays an understated role in the ultimate success of a company with the responsibility of guiding a product’s development to be something users genuinely need. Product managers are the ones taking this responsibility by aligning teams

What are the 4 best analytics tools for product managers?

Product management is intense and tricky, with every business and startup in the race for product market fit, agility and faster time to market with well informed data driven decisions really matter. At its core, the Product Manager ensures the decisions that are made to prioritise what to build are

3-steps to do proper software product Engineering in 2024

The rapidly evolving field of software development is fuelled by key trends and constant advancements in surrounding tools and technology. For example, one of these is how AI plays a far greater role than it ever has before from better low-code tools to ease of integrating top of the range

llama 2 vs gpt 4: When to choose which?

A large language model (LLM) is essentially a form of AI that is specifically designed to understand and generate natural human language. They can process huge amounts of data so they are often deployed as context informed chat bots, content and code creation tools, and multi-lingual translators. As novel and

4 Best Free AI Search Engines

Traditional search engines as we know them today produce results to queries by relying on algorithms that combine different keywords, how often a page is referenced, content quality, how fast the page loads, amongst other things. These factors determine what the search engine thinks will be the most helpful response.

How to launch an AI SaaS in 2024

It’s no longer just a trend to integrate AI into SaaS products anymore, especially now with most apps offering AI features and more everyday users setting them as standard expectations. The impact this has had on the overall quality of SaaS products can’t be overstated. It’s ability

Gemini Pro vs GPT 4: What is the best LLM for your App?

As the demand for more advanced AI capabilities continues to grow into standard user expectations, it’s important to evaluate which is better for building your LLM app. It’s a long term decision that will affect your team’s ease and flexibility in meeting evolving user and market needs.

Langchain evaluation: What is it, who is it for, and why run it?

As large language models and AI-integrated products become increasingly popular and complex, evaluating their performance and accuracy presents a new challenge in the space. The evaluation of AI products has yet to catch up with the speed at which AI product development is advancing. To get a grasp of this,

Mixpanel vs amplitude can any of them do AI product analytics?

Product analytics tools like Mixpanel and Amplitude help you gain a deep understanding of how customers engage with your products. Both Mixpanel and Amplitude are self-serve product analytics tools that are working towards democratizing data. With the exponential rise and demand for AI integrated products, this produces mammoth amounts of

The 3 best AI tools for product managers to improve conversion

Product management tools have evolved from simple spreadsheets to specialized tools for every step of the product lifecycle. AI-powered product management tools are emerging and poised to transform how companies build and optimize their products. With AI, product managers can leverage data to gain valuable customer insights, predict outcomes, and