Fredrik Olsson
Greater Stockholm Metropolitan Area
4 tn följare
Fler än 500 kontakter
Greater Stockholm Metropolitan Area
4 tn följare
Fler än 500 kontakter
Info
I'm an experienced and pragmatic tech leader that loves solving business problems using data and best-practices from software engineering and Machine Learning.
Mentor, advisor and public speaker. PhD in Computational Linguistics.
Previously: Head of Data Science & Product Strategy @ Gavagai.
Also, I was awarded the 2023 DAIR Machine Learning Professional of the Year 🥇 😉
Artiklar av Fredrik
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Top arXiv Machine Learning papers in 2021 according to metacurate.io
Top arXiv Machine Learning papers in 2021 according to metacurate.io
Av Fredrik Olsson
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Top 10 arXiv papers in 2020 according to metacurate.io
Top 10 arXiv papers in 2020 according to metacurate.io
Av Fredrik Olsson
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Data Readiness for Natural Language Processing
Data Readiness for Natural Language Processing
Av Fredrik Olsson
Aktivitet
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Are Large Language Models getting too large to be useful? Recent breakthroughs in natural language processing have been largely driven by scaling…
Are Large Language Models getting too large to be useful? Recent breakthroughs in natural language processing have been largely driven by scaling…
Gillat av Fredrik Olsson
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⚗️ Find reusable synthetic data pipeline code and corresponding datasets on the Hugging Face Hub. Find your pipline and use `$ distilabel pipeline…
⚗️ Find reusable synthetic data pipeline code and corresponding datasets on the Hugging Face Hub. Find your pipline and use `$ distilabel pipeline…
Gillat av Fredrik Olsson
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Did you notice this? ✨ AI at Meta LLama Agentic System uses FastAPI 🤖 Nice to see all the cool stuff that some of the smartest AI people are…
Did you notice this? ✨ AI at Meta LLama Agentic System uses FastAPI 🤖 Nice to see all the cool stuff that some of the smartest AI people are…
Gillat av Fredrik Olsson
Erfarenhet
Utbildning
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Enrolled in the National Graduate School of Language Technology, GSLT/Department of Swedish.
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Aktiviteter och föreningar:Uplands Nation, IT-Forum
Took additional courses in computer science, mathematics, meteorology, ...
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Publikationer
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Bootstrapping Named Entity Annotation by Means of Active Machine Learning
PhD Thesis, Department of Swedish Language, University of Gothenburg
This thesis describes the development and in-depth empirical investigation of a method, called BootMark, for bootstrapping the marking up of named entities in textual documents. The reason for working with documents, as opposed to for instance sentences or phrases, is that the BootMark method is concerned with the creation of corpora. The claim made in the thesis is that BootMark
requires a human annotator to manually annotate fewer documents in order to produce a named entity recognizer…This thesis describes the development and in-depth empirical investigation of a method, called BootMark, for bootstrapping the marking up of named entities in textual documents. The reason for working with documents, as opposed to for instance sentences or phrases, is that the BootMark method is concerned with the creation of corpora. The claim made in the thesis is that BootMark
requires a human annotator to manually annotate fewer documents in order to produce a named entity recognizer with a given performance, than would be needed if the documents forming the basis for the recognizer were randomly drawn from the same corpus. The intention is then to use the created named entity recognizer as a pre-tagger and thus eventually turn the manual annotation process into one in which the annotator reviews system-suggested annotations rather than creating new ones from scratch. The BootMark method consists of three phases: (1) Manual annotation of a set of documents; (2) Bootstrapping – active machine learning for the purpose of selecting which document to annotate next; (3) The remaining unannotated documents of the original corpus are marked up using pre-tagging with revision. Five emerging issues are identified, described and empirically investigated in the thesis. They are related to: (1) the characteristics of the named entity recognition task and the base learners used in conjunction with it; (2) the constitution of the set of documents annotated by the human annotator in phase one in order to start the bootstrapping process; (3) the active selection of the documents to annotate in phase two; (4) the monitoring and termination of the active learning carried out in phase two, including a new intrinsic stopping criterion for committee-based active learning; and (5) the applicability of the named entity recognizer created during phase two as a pre-tagger in phase three.
Språk
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Swedish
Modersmåls- eller tvåspråkig nivå
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English
Fullständig professionell nivå
Mottagna rekommendationer
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Gå med nu för att seFler aktiviteter efter Fredrik
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The internet contains an increasing amount of AI generated data. What happens when we train new models on this data? A recent paper in Nature…
The internet contains an increasing amount of AI generated data. What happens when we train new models on this data? A recent paper in Nature…
Gillat av Fredrik Olsson
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Get started with LLM applications using the AdalFlow library. From chatbots to RAGs to agents, here is a full list of our easy-to-follow Colab…
Get started with LLM applications using the AdalFlow library. From chatbots to RAGs to agents, here is a full list of our easy-to-follow Colab…
Gillat av Fredrik Olsson
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RAG or Long-Context LLMs? A new study aims to settle the debate. Retrieval Augmented Generation (RAG) has been the go-to method for handling long…
RAG or Long-Context LLMs? A new study aims to settle the debate. Retrieval Augmented Generation (RAG) has been the go-to method for handling long…
Gillat av Fredrik Olsson
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Extremely excited to start working on llama community officially! 🙏 I've joined Meta in an absolute dream role of contributing to llama community…
Extremely excited to start working on llama community officially! 🙏 I've joined Meta in an absolute dream role of contributing to llama community…
Gillat av Fredrik Olsson
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Warnings for companies building talk-to-your document RAG systems with AI (which is a lot of companies): 1) No one is testing the final LLM output…
Warnings for companies building talk-to-your document RAG systems with AI (which is a lot of companies): 1) No one is testing the final LLM output…
Gillat av Fredrik Olsson
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Possible Replacement of Prompt Hacking: Graph-Based Prompt Optimization using DSPy 📚 According to one research team, no human should manually…
Possible Replacement of Prompt Hacking: Graph-Based Prompt Optimization using DSPy 📚 According to one research team, no human should manually…
Gillat av Fredrik Olsson
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SearchGPT? Reserving judgment until I get to try it, but this feels like more of a Perplexity killer than a Google killer. I don't want chat as my…
SearchGPT? Reserving judgment until I get to try it, but this feels like more of a Perplexity killer than a Google killer. I don't want chat as my…
Gillat av Fredrik Olsson
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Recorded Future’s Insikt Group provided a suggested query for Recorded Future clients to track the ongoing train disruption impacting the #Olympics…
Recorded Future’s Insikt Group provided a suggested query for Recorded Future clients to track the ongoing train disruption impacting the #Olympics…
Gillat av Fredrik Olsson
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Pretty sure the most powerful Small Language Model in the market since today
Pretty sure the most powerful Small Language Model in the market since today
Gillat av Fredrik Olsson
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Claude, write me a corporate memo covering the following points, integrating them together in a good way: -Forgive me for the murder I committed -We…
Claude, write me a corporate memo covering the following points, integrating them together in a good way: -Forgive me for the murder I committed -We…
Gillat av Fredrik Olsson
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OpenAI is transforming education! 🎓 ChatGPT Edu is an affordable, innovative AI solution for universities to bring the power of AI to students…
OpenAI is transforming education! 🎓 ChatGPT Edu is an affordable, innovative AI solution for universities to bring the power of AI to students…
Gillat av Fredrik Olsson
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Some of the most successful AI/ML engineers and PMs I’ve encountered weren’t the strongest technically but they were the most proactive. They…
Some of the most successful AI/ML engineers and PMs I’ve encountered weren’t the strongest technically but they were the most proactive. They…
Gillat av Fredrik Olsson
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