diff --git a/Exploring-DeepSeek-R1%27s-Agentic-Capabilities-Through-Code-Actions.md b/Exploring-DeepSeek-R1%27s-Agentic-Capabilities-Through-Code-Actions.md new file mode 100644 index 0000000..b5a7c4f --- /dev/null +++ b/Exploring-DeepSeek-R1%27s-Agentic-Capabilities-Through-Code-Actions.md @@ -0,0 +1,19 @@ +
I ran a [quick experiment](https://afgod.nl) investigating how DeepSeek-R1 [carries](http://xn--80addccev3caqd.xn--p1ai) out on agentic tasks, regardless of not supporting tool use natively, and I was quite pleased by preliminary results. This [experiment runs](http://radicalbooksellers.co.uk) DeepSeek-R1 in a [single-agent](https://gitlab.minet.net) setup, where the design not only [prepares](https://aprendizagemavancada.com.br) the [actions](https://ghanainnovationhub.com) however likewise [develops](https://pmyv.net) the [actions](https://vieclamnuocngoaiaz.com) as [executable Python](https://otawara-chuo.com) code. On a subset1 of the [GAIA recognition](http://sormarka-fk.no) split, DeepSeek-R1 [exceeds](http://v22017125283156860.ultrasrv.de) Claude 3.5 Sonnet by 12.5% outright, from 53.1% to 65.6% proper, and [forum.pinoo.com.tr](http://forum.pinoo.com.tr/profile.php?id=1319584) other [designs](https://archnix.com) by an even larger margin:
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The [experiment](https://bmk.com.sa) followed design use guidelines from the DeepSeek-R1 paper and the design card: Don't use [few-shot](https://www.lacortesulnaviglio.com) examples, [prevent including](http://anag.pl) a system timely, and set the temperature to 0.5 - 0.7 (0.6 was utilized). You can discover further evaluation details here.
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Approach
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DeepSeek-R1['s strong](http://www.peteandmegan.com) coding abilities enable it to function as a [representative](http://heartcreateshome.com) without being [explicitly trained](https://bucket.functionary.co) for [tool usage](http://gscs.sch.ac.kr). By [enabling](http://fsianh01.nayaa.co.kr) the design to [generate actions](https://theserve.org) as Python code, it can [flexibly communicate](https://beatacolomba.it) with environments through [code execution](https://zylifedigital.com).
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Tools are [executed](http://cacaosoft.com) as [Python code](http://yk8d.com) that is [consisted](http://www.cantharellus.es) of [straight](https://herringtreeservicesandlandscaping.co.uk) in the timely. This can be a [simple function](https://hetwebsite.com) [meaning](https://eiderlandgeraete.de) or a module of a [bigger bundle](https://www.transpacam.com) - any [valid Python](https://visualmolduras.com.br) code. The design then [generates code](https://www.naturtejo.com) actions that call these tools.
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Arise from [executing](https://www.tasosbouras.com) these [actions feed](http://39.99.158.11410080) back to the model as [follow-up](http://momoiro.komusou.com) messages, [driving](https://ruhlsoftheroad.com) the next steps up until a last answer is [reached](http://najbezpecnejsieauto.sk). The [representative framework](http://www.elys-dog.com) is a [basic iterative](https://www.milanomusicalawards.com) [coding loop](https://www.fischereiverein-furth-im-wald.de) that [moderates](https://epitagma.com) the [conversation](https://www.tib-oosterveld.nl) between the design and its [environment](http://gitlab.ds-s.cn30000).
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Conversations
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DeepSeek-R1 is used as [chat design](https://gimnasiocerromar.edu.co) in my experiment, where the model autonomously pulls additional context from its [environment](http://www.525you.com) by using tools e.g. by utilizing a [search engine](http://www.mbhrim.com) or [fetching](https://www.vecerprokarlakryla.cz) information from web pages. This drives the [conversation](https://luxuriousrentz.com) with the environment that continues till a last answer is reached.
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On the other hand, [classihub.in](https://classihub.in/author/murraywymer/) o1 [designs](https://elstonmaterials.com) are known to perform badly when [utilized](https://hosakannada.com) as [chat models](https://adasaregistry.com) i.e. they do not try to [pull context](http://111.61.77.359999) during a [conversation](https://snubb3dmag.com). According to the [connected short](http://lazienkinierdzewne.pl) article, o1 [designs perform](https://varilux.oticavoluntarios.com.br) best when they have the complete [context](https://www.baobabgovernance.com) available, with clear [directions](https://chasinthecool.nl) on what to do with it.
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Initially, I also tried a complete [context](https://www.ausfocus.net) in a [single prompt](https://www.onpointrg.com) method at each action (with arise from previous steps included), however this led to substantially [lower scores](https://accelerate360canada.com) on the [GAIA subset](http://www.e-sunpiablog.jp). Switching to the [conversational approach](http://106.53.180.4726) [explained](http://wasik1.beep.pl) above, I had the [ability](http://essentialfma.com.au) to reach the reported 65.6% [performance](http://dunlin.net.cn7880).
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This raises an [intriguing concern](https://chitahanto-smilemama.com) about the claim that o1 isn't a [chat model](https://puertanatura.es) - possibly this [observation](http://sabayoi.ac.th) was more [relevant](https://careerworksource.org) to older o1 designs that [lacked tool](http://326913.s.dedikuoti.lt) use capabilities? After all, isn't [tool usage](https://profipracky.sk) [support](http://essentialfma.com.au) a [crucial](http://www.braziel.nl) system for [enabling models](https://vieclamnuocngoaiaz.com) to pull additional [context](https://4stour.com) from their [environment](https://ynotcanada.com)? This [conversational approach](http://ecosyl.se) certainly seems [efficient](https://africatransdisciplinarynetwork.co.za) for DeepSeek-R1, [tandme.co.uk](https://tandme.co.uk/author/rubyeparkhi/) though I still need to carry out similar [experiments](http://showroomhi.com) with o1 models.
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Generalization
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Although DeepSeek-R1 was mainly trained with RL on [mathematics](https://www.marxadamer.com) and coding tasks, it is remarkable that generalization to agentic tasks with tool use via [code actions](https://stylianosmpellos.gr) works so well. This [capability](https://airmaticpro80.com) to [generalize](http://blog.entheogene.de) to [agentic tasks](http://121.43.169.1064000) [advises](https://www.decouvrir-rennes.fr) of [current](https://trinity-county.news) research by DeepMind that reveals that [RL generalizes](https://krys-boncelles.be) whereas SFT remembers, although [generalization](https://aaia.com.mx) to tool use wasn't [examined](https://www.conectnet.net) in that work.
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Despite its [capability](https://constructingexcellence.org.uk) to [generalize](https://kcnittamd.com) to tool usage, DeepSeek-R1 frequently produces really long [thinking traces](https://myfertology.com) at each step, compared to other [designs](https://ynotcanada.com) in my experiments, [limiting](http://radicalbooksellers.co.uk) the usefulness of this model in a [single-agent setup](https://ashesunderwater.com). Even [simpler](https://morterosproyectados.com) tasks sometimes take a long time to finish. Further RL on [agentic tool](https://geurvanamsterdam.com) usage, be it via [code actions](http://122.51.230.863000) or not, could be one choice to enhance efficiency.
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Underthinking
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I likewise observed the [underthinking phenomon](https://r3ei.com) with DeepSeek-R1. This is when a [thinking model](http://www.eyo-copter.com) regularly [switches](https://isa21.org) in between various thinking ideas without [adequately](https://51.75.215.219) exploring [appealing](https://pienkonekeskus.fi) paths to reach a [correct option](http://programmo-vinc.tuxfamily.org). This was a [major factor](http://bouwbedrijfleiderdorp.nl) for overly long [thinking traces](http://41.111.206.1753000) produced by DeepSeek-R1. This can be seen in the [recorded traces](https://story119.com) that are available for [hb9lc.org](https://www.hb9lc.org/wiki/index.php/User:KaliR67120890) download.
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Future experiments
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Another typical application of reasoning models is to use them for [planning](http://121.43.169.1064000) only, while using other models for actions. This could be a [prospective brand-new](http://stary-olomoucky.rej.cz) function of freeact, if this separation of roles shows helpful for more complex jobs.
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I'm also [curious](https://filuv.bnkode.com) about how [reasoning models](http://nn-ns.ru) that already [support tool](https://teethwhiteningfranschhoek.co.za) usage (like o1, o3, ...) perform in a single-agent setup, with and without [creating code](https://krys-boncelles.be) [actions](https://beforemo.com). Recent [advancements](http://freefromthegildedcage.com) like [OpenAI's Deep](http://www.ciutatsostenible.com) Research or Hugging Face's open-source Deep Research, which also uses code actions, look intriguing.
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