Author: Dhanshree Shripad Shenwai

Dhanshree Shripad Shenwai
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Dhanshree Shenwai is a Computer Science Engineer and has a good experience in FinTech companies covering Financial, Cards & Payments and Banking domain with keen interest in applications of AI. She is enthusiastic about exploring new technologies and advancements in today’s evolving world making everyone's life easy.

Opslane: An Open-Source Tool that Helps Teams Reduce Alert Fatigue, Streamline Incident Response, and Boost Team Morale

The notorious middle-of-the-night unactionable alert is well known to those on-call, adding to the stress that on-call engineers endure. It is still difficult to...

Google Deepmind Researchers Introduce Jumprelu Sparse Autoencoders: Achieving State-of-the-Art Reconstruction Fidelity

The Sparse Autoencoder (SAE) is a type of neural network designed to efficiently learn sparse representations of data. The Sparse Autoencoder (SAE) neural network...

SGLang: A Structured Generation Language for Efficient Execution of Complex Language Model Programs

Recent advancements in LLM capabilities have increased their usability by enabling them to do a broader range of general activities autonomously. The existing methods...

Manaflow: Automate Workflows Involving Data Analysis, API Calls, and Business Actions

For small-to-mid-sized businesses (SMBs), the burden of manually executing day-to-day processes using folders of Excel files and third-party apps can be overwhelming. This time-consuming,...

This AI Paper from the Netherlands Introduce an AutoML Framework Designed to Synthesize End-to-End Multimodal Machine Learning ML Pipelines Efficiently

Automated Machine Learning has become essential in data-driven decision-making, allowing domain experts to use machine learning without requiring considerable statistical knowledge. Nevertheless, a major...

Meet Laminar AI: A Developer Platform that Combines Orchestration, Evaluations, Data, and Observability to Empower AI Developers to Ship Reliable LLM Applications 10x Faster

Because LLMs are inherently random, building reliable software (like LLM agents) requires continuous monitoring, a systematic approach to testing modifications, and quick iteration on...

HuggingFace Researchers Introduce Docmatix: A Dataset For Document Visual Question Answering Containing 2.4 Million Pictures And 9.5 Million Q/A Pairs

Document Visual Question Answering (DocVQA) is a branch of visual question answering that focuses on answering queries about the contents of documents. These documents...

Meet ZeroPath: A GitHub App that Detects, Verifies, and Issues Pull Requests for Security Vulnerabilities in Your Code

Securing their products is a challenge for businesses. Teams are inundated with false positives from current Static Application Security Testing (SAST) technologies, and those...

Tencent AI Team Introduces Patch-Level Training for Large Language Models LLMs: Reducing the Sequence Length by Compressing Multiple Tokens into a Single Patch

The enormous increase in the training data needed by Large Language Models, along with their exceptional model capability, has allowed them to accomplish outstanding...

Meet Parea AI: An AI Startup that Automatically Creates LLM-based Evals Aligned with Human Judgement

Human reviewers or LLMs are often the only options for evaluating free-form material. However, their evaluation can be inaccurate and the process is time-consuming,...

This Survey Paper Presents a Comprehensive Review of LLM-based Text-to-SQL

Due to the complexity of interpreting user questions, database schemas, and SQL production, accurately generating SQL from natural language queries (text-to-SQL) has been a...

Meet Serra: An AI-Driven Search Engine for Recruiters to Find Best-Fit Candidates both Within Their ATS and Outside of It

For recruiters, finding the right candidates—whether they're applying inward or outbound—is a laborious and time-consuming process. The results are longer hiring processes, lost chances,...