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Ravi Theja
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Ravi Theja
@ravithejads
Applied AI @MistralAI Previously - @llama_index (LlamaIndex) Focused on LLMs, Agents, RAG, and fine-tuning LLMs.
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linkedin.com/in/ravidesetty/
Joined December 2010
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    Ravi Theja
    @ravithejads
    Aug 5, 2024
    🔥 Releasing BRAG: High-Performance RAG Model Trained In $25 🚀 We’re thrilled to announce the launch of our RAG models, collectively known as BRAG—a series of SLMs (3 SLMs and 1 Ultra SLM) specifically trained for Retrieval Augmented Generation (RAG). 1️⃣ ⁠BRAG-Qwen2-7b-v0.1
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    Ravi Theja
    @ravithejads
    Feb 4, 2024
    🚀 𝐂𝐨𝐫𝐫𝐞𝐜𝐭𝐢𝐯𝐞 𝐑𝐞𝐭𝐫𝐢𝐞𝐯𝐚𝐥 𝐀𝐮𝐠𝐦𝐞𝐧𝐭𝐞𝐝 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 (𝐂𝐑𝐀𝐆) ⭐ 🤔 RAG heavily relies on the relevance of retrieved-context, which can sometimes be fully correct or only partially correct, or incorrect. CRAG (Corrective Retrieval Augmented
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    Ravi Theja
    @ravithejads
    Dec 5, 2023
    🌟📘 Excited to share the @OpenAI Cookbook for Evaluating RAG Systems with @llama_index 🚀 🔍 Explore the RAG system evaluation: 1️⃣ Synthetic Data Generation with GPT-4 2️⃣ Detailed Retrieval Evaluation (Featuring Hit Rate & MRR Metrics) 3️⃣ In-depth Response Evaluation
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    Ravi Theja
    @ravithejads
    Feb 11, 2024
    🚀 𝐇𝐢𝐐𝐀: 𝐀 𝐇𝐢𝐞𝐫𝐚𝐫𝐜𝐡𝐢𝐜𝐚𝐥 𝐂𝐨𝐧𝐭𝐞𝐱𝐭𝐮𝐚𝐥 𝐀𝐮𝐠𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐑𝐀𝐆 𝐟𝐨𝐫 𝐌𝐚𝐬𝐬𝐢𝐯𝐞 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭𝐬 𝐐𝐀🌟 💡 The usual RAG approach struggles with retrieval accuracy when faced with massive indistinguishable documents comprising text, tables,
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    Ravi Theja
    @ravithejads
    Mar 1, 2024
    🔥 Releasing Telugu Gemma finetuned models - Perhaps the most advanced open-source Telugu LLM models out there! 🚀 Last week, @Google released the Gemma family of models (7B and 2B), featuring an exhaustive tokenizer(256K). A quick test of its tokenizing capabilities revealed
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    Ravi Theja
    @ravithejads
    May 15, 2024
    🔥 Navarasa at Google I/O 🔥 🎉 I'm super thrilled to share that our work (with @ramsri_goutham) - Navarasa has been showcased at Google I/O! 🌐 Navarasa is a Gemma-finetuned Indic LLM covering 15 Indic languages (+ English). It was great to see indicchat developed by
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    Ravi Theja
    @ravithejads
    Feb 25, 2024
    🚀 𝐀𝐜𝐭𝐢𝐯𝐞𝐑𝐀𝐆: 𝐑𝐞𝐯𝐞𝐚𝐥𝐢𝐧𝐠 𝐭𝐡𝐞 𝐓𝐫𝐞𝐚𝐬𝐮𝐫𝐞𝐬 𝐨𝐟 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐯𝐢𝐚 𝐀𝐜𝐭𝐢𝐯𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 🌟 Retrieval-augmented generation (RAG) combines LLMs with external knowledge to create more accurate and relevant answers. However, RAG's
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    Ravi Theja
    @ravithejads
    Jun 23, 2024
    🔥 Mixture-Of-Agents enhances LLM Capabilities This paper from @togethercompute introduces an approach Mixture-of-Agents (MoA) that harnesses the collective strengths of multiple LLMs. 💡 The MoA approach layers different LLM agents, each building on the outputs of others to
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    Ravi Theja
    @ravithejads
    Oct 23, 2023
    🚀 Career Update Excited to announce that I'm joining the amazing @llama_index team! Super thrilled to work with @jerryjliu0, @disiok, @seldo, @yi_ding, @LoganMarkewich & the team. Diving into RAG/Agents? Let's brainstorm & build. DMs open.
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    Ravi Theja
    @ravithejads
    Mar 6, 2024
    🔥 𝐑𝐞𝐥𝐞𝐚𝐬𝐢𝐧𝐠 𝐈𝐧𝐝𝐢𝐜 𝐆𝐞𝐦𝐦𝐚 7𝐁/2𝐁 𝐈𝐧𝐬𝐭𝐫𝐮𝐜𝐭𝐢𝐨𝐧 𝐭𝐮𝐧𝐞𝐝 𝐦𝐨𝐝𝐞𝐥 𝐨𝐧 9 𝐈𝐧𝐝𝐢𝐚𝐧 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 — 𝐍𝐚𝐯𝐚𝐫𝐚𝐬𝐚 🚀 We are thrilled to share 🌟 𝐍𝐚𝐯𝐚𝐫𝐚𝐬𝐚, a Gemma 7B & 2B instruction-tuned models in 9 Indian Languages - Perhaps
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    Ravi Theja
    @ravithejads
    Jun 10, 2024
    🌟 Prometheus-2: An Open-Source Evaluator LM for Your RAG Application ✅ Prometheus-2 shows a high degree of correlation and agreement with human evaluations, GPT-4, and Claude3, making it a dependable evaluator LM for RAG applications. 🧑‍⚖️ It acts as an LLM judge, good at
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    Ravi Theja
    @ravithejads
    Feb 13, 2025
    Career Update: I have recently wrapped up my journey at @llama_index, and it has been an amazing experience from start to finish! From contributing to the open-source ecosystem in the early days to joining full-time, it has been a privilege to help the developer community and
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    Ravi Theja
    @ravithejads
    Feb 7, 2024
    🚨𝐑𝐞𝐥𝐞𝐚𝐬𝐢𝐧𝐠 𝐭𝐡𝐞 𝐓𝐞𝐥𝐮𝐠𝐮-𝐋𝐥𝐚𝐦𝐚-7𝐁-𝐯0-𝐈𝐧𝐬𝐭𝐫𝐮𝐜𝐭 𝐌𝐨𝐝𝐞𝐥 🚀 Last week, we announced Telugu-LLM-Labs, a joint independent collaborative effort by me, and @ramsri_goutham, where we released datasets translated and romanized in Telugu. 🔥 Today,
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    Ravi Theja
    @ravithejads
    Jan 18, 2024
    ⭐ RAG VS FINE-TUNING: A CASE STUDY ON AGRICULTURE 🌾 While numerous studies have explored RAG versus Fine-Tuning, @Microsoft's latest paper with @OpenAI GPT4, Llama2-13B, and Vicuna stands out with its unique focus on agricultural data from the US, India, and Brazil. 🌍 🔍
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